🍒 (PDF) Introduction to Computing Using Python - An Application Development Focus by Lju | Sherinx Li - chakefashion.com

Most Liked Casino Bonuses in the last 7 days 🔥

Filter:
Sort:
JK644W564
Bonus:
Free Spins
Players:
All
WR:
30 xB
Max cash out:
$ 200

https://towardsdatascience.com/python-blackjack-simulator-61b591ffb971?source=--. Multithreading In Python | Python Multithreading Tutorial | Python Tutorial


Enjoy!
chakefashion.comor: <urlopen error unknown url type: https> – IDEs Support (IntelliJ Platform) | JetBrains
Valid for casinos
Building Skills in Object-Oriented Design, V4 — Building Skills in Object-Oriented Design 4.1910 documentation
Visits
Dislikes
Comments
Sebastian Raschka, Vahid Mirjalili Packt 770 Pages 12 Dec 2019 Book Overview: Applied machine learning with a solid foundation in theory.
Revised and expanded for 2, GANs, and reinforcement learning.
Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python.
It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.
Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth.
While some books teach you only to follow instructions, with this machine learning book, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself.
It's also expanded to cover cutting-edge reinforcement learning techniques based on deep learning, as well as an introduction to GANs.
Finally, this book also explores a subfield of natural language processing NLP called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents.
This book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.
Ashish Kumar ISBN 13: 9781789343236 Packt Course Length: 20 hours 13 minutes 25 Oct 2019 Video Overview: Perform advanced data manipulation tasks using pandas and become an expert data analyst.
This book presents useful data manipulation techniques in pandas to perform complex data analysis in various domains.
With this book, you will learn how to perform efficient data analysis using pandas on complex data, and become an expert data analyst or data scientist in the process.
Python is a flexible language that can be used for much more than just script development.
By knowing the Python RESTful APIs work, you can build a powerful backend for web applications and mobile applications using Python.
You'll take your first steps by building a simple API and learning how the frontend web interface can communicate with the backend.
You'll also learn how to serialize and deserialize objects using the marshmallow library.
Then, you'll learn how to authenticate and authorize users using Flask-JWT.
You'll also learn how to enhance your APIs by adding useful features, such as email, image upload, searching, and pagination.
You'll wrap up the whole book by deploying your APIs to the cloud.
By the end of this book, you'll have the confidence and skill to leverage the power of RESTful APIs and Python to build efficient web applications.
This course was designed for developers keen to get ahead of the curve in the latest web technologies, and focuses on how to use GraphQL from front to back, the most current techniques and tools in React including React Hooks, Apollo Boost, and Material UIand how to combine it all with Python, Django, and Graphene for an amazing stack.
You'll be building a full-stack app from scratch with a GraphQL API made with Python Django and Graphene ; a React client app with React Hooks and Apollo Boost; state management React Context with useContext and Apollo Client State, media file uploads with Cloudinary; and tons more.
So, by the end of the course, you'll have the programming skills to write any program even if it has nothing to do with hacking, but you'll learn to program by programming hacking tools!
All the code files are placed at Andrea Opinion pokerstars tournament player stats consider ISBN 13:9781789131116 Packt 366 Pages 18 Oct 2019 Book Overview: Develop self-learning algorithms and agents using and other Python tools, frameworks, and libraries Reinforcement Learning RL is a popular and promising branch of AI that involves making smarter models and agents that can automatically determine ideal behaviour based on changing requirements.
This book will help you master RL algorithms and understand their implementation as you build self-learning agents.
By the end of the book, you'll have learn more here with key RL algorithms to overcome challenges in real-world applications and be part of the RL research community.
This course touches on every important concept of the latest version of Python, Python 3.
Throughout the course, we will explore the most essential Python features: After completing this course, you will be ready to work as an intern, fresher, or freelancer, and you will also be able to implement everything yourself!
Most importantly, you will be ready to use the huge scope offered by Python programming.
All the codes and supporting files for this course are available at - Giancarlo Zaccone ISBN 13: 9781789533736 Packt 370 pages Pages: 11 hours 6 minutes 6 Sep 2019 Book Overview: Implement effective programming techniques in Python to build scalable software that saves time and memory Nowadays, it has become extremely important for programmers to understand the link between the software and the parallel nature of their hardware so that their programs run efficiently on computer architectures.
Applications based on parallel programming are fast, robust, and easily scalable.
This updated edition features cutting-edge techniques for building effective concurrent applications in Python 3.
The book introduces parallel programming architectures and covers the fundamental recipes for thread-based and process-based parallelism.
You'll learn about mutex, semaphores, locks, queues exploiting the threading, and multiprocessing modules, all of which are basic tools to build parallel applications.
Recipes on MPI programming will help you to synchronize processes using the fundamental message passing techniques with mpi4py.
Furthermore, you'll get to grips with asynchronous programming and how to use the power of the GPU with PyCUDA and PyOpenCL frameworks.
Finally, you'll explore how to design distributed computing systems with Celery and architect Python apps on the cloud usingDocker, and serverless applications.
With this book, you will be confident in building concurrent and high-performing applications in Python.
Burkhard Meier ISBN 13: 9781838827540 Packt 486 Pages 11 Oct 2019 Book Overview: Over 90 recipes to help you develop widgets, forms, layouts, charts, and much more using the latest features of Python 3 Python is a multi-domain, interpreted programming language that is easy to learn and implement.
With its wide support for frameworks to develop GUIs, you can build interactive and beautiful GUI-based applications easily using Python.
This third edition of Python GUI Programming Cookbook follows a task-based approach to help you create effective GUIs with the smallest amount of code.
Every recipe in this book builds upon the last to create an entire, real-life GUI application.
These recipes also help you solve problems that you might encounter while developing GUIs.
You'll learn how to create GUIs in Python using simple programming styles and object-oriented programming OOP.
As you add more widgets and expand your GUI, you will learn how to connect to networks, databases, and graphical libraries that greatly enhance the functionality of your GUI.
As you expand your GUI by adding more widgets, you'll work with networks, databases, and graphical libraries that enhance its functionality.
You'll also learn how to connect to external databases and network resources, test your code, and maximize performance using asynchronous programming.
In later chapters, you'll understand how to use the cross-platform features of Tkinter and Qt5 to maintain compatibility across platforms.
With this book you'll have the skills and confidence to design and build high-end GUI applications that can solve real-world problems.
Peter Fisher ISBN 13: 9781788831079 Course Length: 2 hours 8 minutes 3 Jul 2019 Video Overview: Discover simple practices for writing clean and efficient Python code Even bad code can function.
But if code isn't clean, it can bring a development organization to its knees.
Every year, countless hours and significant resources are lost because of poorly written code.
But it doesn't have to be that way.
With this book you'll have the skills and confidence to design and build high-end GUI applications that can solve real-world problems.
Volodymyr Kirichinets ISBN 13: 9781789612790 Packt 770 Pages 29 May 2019 Book Overview: Boost UI development with ready-made widgets, controls, charts, and data visualization and create stunning 2D and 3D graphics with and.
Qt is one of the most widely used and flexible frameworks for GUI application development, allowing you to write your application once and then deploy it to multiple operating systems.
This book combines the best of Python and Qt to help you develop GUI applications with Python bindings, such as andthat will supercharge your Python applications.
With this book, you will be able to create modern, responsive, cross-platform desktop applications with the power of Qt, Python, and QML.
Abilash Nelson ISBN 13: 9781838986476 Packt Course Length: 11 hours 7 minutes 28 May 2019 Video Overview: Deep learning and data science using a Python and Keras library - The complete guide from a beginner to professional The world has been obsessed with the terms "machine learning" and "deep learning" recently.
We use these technologies every day, with or without our knowledge.
Ranging from Google suggestions to translations, ads, movie recommendations, friend suggestions, sales and customer experiences.
Overall, this is a basic to an advanced crash course in deep learning neural networks and convolutional neural networks using Keras and Python.
John Elder ISBN 13: 9781838984670 Packt Course Length: 2 hours 2 minutes 28 May 2019 Video Overview: Learn the Database with Python the fast and easy way!
These days, everything uses a database, and MySQL is one of the most popular databases out there.
FREE and Open Source, Mysql is a great database for just about all of your needs.
Likewise, Python is one of the most popular and powerful programming languages today.
Pairing the two together is a powerful combination!
With this course, you'll learn the basics of using MySQL with Python.
You'll learn how to create databases and tables, add data, sort data, create reports, pull specific data, and more.
Volodymyr Kirichinets ISBN 13: 9781789612790 Packt 770 Pages 29 May 2019 Book: Boost UI development with ready-made widgets, controls, charts, and data visualization and create stunning 2D and 3D graphics with and.
The book begins with an overview of Qt and QML.
Then, you will learn how to use QWidget, frames, labels, and text fields, and work with graphics.
This will be followed by taking you through how elements in the application communicate with each other by understanding signals, slots, and event handlers.
This book will help you to gain a better understanding of the Qt framework and the tools to resolve issues when testing, linking, debugging, and multithreading your Python GUI applications.
Finally, the book will help you get to grips with embedded and mobile development using and.
With this book, you will be able to create modern, responsive, cross-platform desktop applications with the power of Qt, Python, and QML.
Avimanyu Bandyopadhyay ISBN 13: 9781789341072 Packt 452 Pages 13 May 2019 Book: Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate This book will be your guide to getting started with GPU computing.
It will start with introducing GPU computing and explain the architecture and programming models for GPUs.
Going further, you will get to grips with GPU work flows, management, and deployment using modern containerization solutions.
Toward the end of the book, you will get familiar with the principles of distributed computing for training machine learning models and enhancing efficiency and performance.
With this book, you will be read more to set up a GPU ecosystem for running complex applications and data models that demand great processing capabilities, and be able to efficiently manage memory go here compute your application effectively and casino blackjack tournaments online />Moore ISBN : 9781789612905 Packt Pages : 542 pages 23 May 2019 Book Overview: An advanced guide to creating powerful high-performance GUIs for modern, media-rich applications in various domains such as business and game development You will get started with an introduction tobefore going on to develop stunning GUIs with modern features.
You will then learn how to build forms using QWidgets and learn about important aspects of GUI development such as layouts, size policies, and event-driven programming.
Next, in-depth coverage of multithreading and asynchronous programming will help you run tasks asynchronously and build high-concurrency processes with ease.
Finally, you will learn how to distribute your applications using setuptools and.
By the end of this book, you will have the skills you need to develop robust GUI applications using.
Marwan Alsabbagh ISBN :9781838649951 Packt Pages : 452 20 May 2019 Book Overview: Build practical solutions to control LEDs, make music and read sensor data using popular microcontrollers such as Adafruit Circuit Playground, ESP8266, and the BBC Micro Bit The book covers recipes that will help you experiment with the programming environment and hardware programmed in.
You'll find tips and techniques for building a variety of objects and prototypes that can sense and respond to touch, sound, position, heat, and light.
This book will take you through the uses of with a variety of popular input devices and sensors.
You'll learn techniques to handle time delays and sensor readings, and apply advanced coding techniques to create complex projects.
As you advance, you'll deal with Internet of Things IoT devices and integration with other online web services.
Furthermore, you'll also use to make music with bananas and create portable multiplayer video games that incorporate sound and light animations into the gameplay.
By the end of the book, you'll have mastered the tips and tricks to troubleshoot your development problems and push your project to the next level!
Throughout this course, you will be building multiple applications ranging from simpler ones to more complex ones.
Learning by doing has its advantages as you will immediately see the concepts explained in action.
You will learn how to build scalable, resilient, and effective applications as real-world projects in Python 3.
By the end of the course, you will build upon your basic programming skills taking your programming skills to another level and conveniently build projects with Python 3.
Hyatt Saleh ISBN 13: 9781789804591 Packt 254 Pages 26 Apr 2019 Book Overview: Implement techniques such as image classification and natural language processing NLP by understanding the different neural network architectures Machine learning is rapidly becoming the most preferred way of solving data problems, thanks to the huge variety of mathematical algorithms that find patterns, which are otherwise invisible to us.
Nathan Greeneltch ISBN 13: 9781789800265 Packt 188 Pages 24 Apr 2019 Book OR Python 3.7 blackjack Overview: Explore the different data mining techniques using the libraries and packages offered by Python Data mining is a necessary and predictable response to the dawn of the information age.
With this book, you will be able to build an efficient data mining pipeline using Python without any hassle.
Some of the common yet important issues we cover include errors while building and training Deep Learning with neural networks, especially without a specific framework.
By the end of the course, you will be well-versed to tackle and troubleshoot any errors with your Deep learning models.
Yuxi Hayden Liu, Saransh Mehta ISBN 13: 9781788998086 Packt 316 Pages April 2019 Book Overview: Concepts, tools, and techniques to explore deep learning architectures and methodologies Deep learning architectures are composed of multilevel nonlinear operations that represent high-level abstractions; this allows you to learn useful feature representations from the data.
This book will help you learn and implement deep learning architectures to resolve various deep learning research problems.
With this book you will be able to construct deep models using popular frameworks and datasets with the required design patterns for each architecture.
You will be ready to explore the potential of deep architectures in today's world.
So, learning and mastering this fantastic world of Computer Vision-based technology is surely up-market.
It will make you proficient in competing with the swiftly click the following article Image Processing technology arena.
And this course is designed in such a way that even the very beginner to programming can master the Computer Vision-based technology.
So, overall this is a complete package in which you can learn Computer Vision-based Technology, Deep Learning-based Face Detection, then Face Recognition and Optical Character Recognition.
They are all complex real-world problems being solved with applications of intelligence AI.
This course provides you with a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.
A comprehensive course that takes you through AI in 3 hours.
It is packed with step by step instructions and working examples.
It is an exciting time to be doing AI with world making its shift towards Industry 2.
This course will help you learn by doing an industry relevant problem in image processing domain, develop and understand automation and AI techniques.
You will learn how to harness the power of algorithms by creating apps which intelligently interact with the world around you, addressing common challenges faced in AI ecosystem.
If you're interested in designing and building graphical user interfaces that are functional, appealing, and user-friendly using one of the most powerful languages, Python 3.
This course is for you.
It is meant for intermediate level programmers who want to enhance their skills by developing GUIs written in Python.
By the end of this course, you will have successfully mastered high-end GUI application such as Card Game and Paint App and will be capable of building many more powerful, cross-platform, and scalable applications.
You'll dive into the Flask environment and get to know its directory structure, template, and routing systems.
Then you'll learn to connect to databases such as Flask-SQLAlchemy and Flask- to help store and track data.
The course will develop your experience in Flask and when you've completed it you will be able to build your own complex web applications.
It has the ability to create dynamic Neural Networks on CPUs and GPUs, both with significantly less code compared to other competing frameworks.
This 7-day course is for those who are in a hurry to get started with.
You will be introduced to the most commonly used Deep Learning models, techniques, and algorithms through code.
This course is an attempt to break the myth that Deep Learning is complicated and show you that with the right choice of tools combined with a simple and intuitive explanation of core concepts, Deep Learning is as accessible as any other application development technologies out there.
Rudy Lai, Bartłomiej Potaczek ISBN 13: 9781838644130 Packt 182 Pages March 2019 Book Overview: Use to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily spanish blackjack strategy Spark jobs Apache Spark is an open source parallel-processing framework that has been around for quite some time now.
One of the many uses of Apache Spark is for data analytics applications across clustered computers.
In this book, you will not only learn how to use Spark and the Python API to create high-performance analytics with big data, but also discover techniques for testing, immunizing, and parallelizing Spark jobs.
You will learn how to source data from all popular data hosting platforms, including HDFS, Hive, JSON, and S3, and deal with large datasets with to gain practical big data experience.
This book will help you work on prototypes on local machines and subsequently go on to handle messy data in production and at scale.
This book covers installing and setting upRDD operations, big data cleaning and wrangling, and aggregating and summarizing data into useful reports.
You will also learn how to implement some practical and proven techniques to improve certain aspects of programming and administration in Apache Spark.
José Manuel Ortega, Dr.
Faruque Sarker, Sam Washington ISBN 13: 9781789958096 Packt 490 Pages March 2019 Book Overview: Take your networking skills to the next level by learning network programming concepts and algorithms using Python Network programming has always been a demanding task.
With full-featured and well-documented libraries all the way up the stack, Python makes network programming the enjoyable experience it should be.
Starting with a walk through of today's major networking protocols, through this book, you'll learn how to employ Python for network programming, how to request and retrieve web resources, and how to extract data in major formats over the web.
You will utilize Here for emailing using different protocols, and you'll interact with remote systems and IP and DNS networking.
You will cover the connection of networking devices and configuration using Python 3.
Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar ISBN 13: 9781789959413 Packt 420 Pages March 2019 Book Overview: Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Data Science for Marketing Analytics takes a hands-on approach to the practical aspects of using Python data analytics libraries to ease marketing analytics efforts.
It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context.
The book is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts.
It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics.
Some experience with databases, Excel, statistics, or Tableau is useful but not necessary.
Giuseppe Ciaburro, Prateek Joshi ISBN 13: 9781789808452 Packt 642 Pages March 2019 Book Overview: Discover powerful ways to effectively solve real-world machine learning problems using key this web page including scikit-learn,and This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks.
With the help of over 100 recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem.
The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach.
You will build two complete real-world NLP applications throughout the course.
The first application is a Sentiment Analyzer that analyzes data to determine whether a review is positive or negative towards a particular movie.
You will then create an advanced Neural Translation Machine that is a speech translation engine, using Sequence to Sequence models with the speed and flexibility of to translate given text into different languages.
Zsolt Nagy ISBN 13: 9781789801651 Packt 330 Pages December 2018 Book Overview: Create AI applications in Python and lay the foundations for your career in data science As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters.
You will be introduced to neural networks, a powerful tool based on Moore's law.
By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills!
David Taieb ISBN 13: 9781789950069 Packt 490 Pages December 2018 Book Overview: Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data.
Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.
Explore the power of this approach to data analysis by then working with it across key industry case studies.
The first of these is an image recognition application with — embracing the importance today of AI in your data analysis.
The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing.
The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today.
The fourth industry use case dives you into graph algorithms and the power of programming in modern data science.
You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence.
You'll learn state-of-the-art techniques for classifying images, finding and identifying human postures, and detecting faces within videos.
You will use powerful machine learning tools such as OpenCV, Dlib, and to build exciting projects such as classifying handwritten digits, detecting facial features,and much more.
By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries.
Sunil Gupta ISBN 13: 9781788997010 Packt Course Length: 1 hour 10 minutes December 2018 Video Overview: This course focuses on the application of relevant Bayesian techniques The course introduces the framework of Bayesian Analysis.
Complex mathematical theory will be sidestepped in favor of a more pragmatic approach, featuring computational methods implemented in the Python library PyMC3.
We present several instances of analysis scenarios.
All the codes of the course are uploaded on the Github repository: Will Ballard ISBN 13: 9781788993883 Packt Course Length: 2 hours 11 minutes December 2018 Video Overview: Use your Python skills to build powerful Deep Learning applications This course is for Python developers who haven't worked with machine learning or data science, and want to build intelligent systems right away—without taking a math degree!
You will learn about recurrent neural networks, Backprop, SGD, and more.
You will work on code examples that are used in a developer's life on a daily basis; you'll not only master the theory, you'll also see how to applied it in the industry as a whole.
You will practice all these ideas in, Keras, and Gluon.
Last but not the least, build Convolutional Neural Networks and apply them to image data.
Deep Learning is currently enabling numerous exciting applications in speech recognition, music synthesis, machine translation, natural language understanding, and many others.
AI is transforming multiple industries.
After finishing this course, you will likely find creative ways to apply it to your work.
We will help you master Deep Learning, understand how to apply it, and build a career in AI.
Saurabh Badhwar ISBN 13: 9781789532364 Packt 374 pages December 2018 Book Overview: Dynamically typed languages like Python are continuously improving.
With the addition of exciting new features and a wide selection of modern libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications.
Hands-On Enterprise Application Development with Python will show you how to build effective applications that are stable, secure, and easily scalable.
The book is a detailed guide to building an end-to-end enterprise-grade application in Python.
You will learn how to effectively implement Python features and design patterns that will positively impact your application lifecycle.
The book also covers advanced concurrency techniques that will help you build a RESTful application with an optimized frontend.
By the end of the book, you will have become proficient at building efficient enterprise applications in Python.
Osvaldo Martin ISBN 13: 9781789341652 Packt 356 Pages December 2018 Book Overview: Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ The second edition of Bayesian Analysis with Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3, a state-of-the-art probabilistic programming library, and ArviZ, a new library for exploratory analysis of Bayesian models.
The main concepts of Bayesian statistics are covered using a practical and computational approach.
Synthetic and real data sets are used to introduce several types of models, such as generalized linear models for regression and classification, mixture models, hierarchical models, and Gaussian processes, among others.
Alvaro Fuentes ISBN 13: 9781789138719 Packt 330 Pages December 2018 Book Overview: Step-by-step guide to build high performing predictive applications Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions.
It involves much more than just throwing data onto a computer to build a model.
This book provides practical coverage to help you understand the most important concepts of predictive analytics.
Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages.
The book's step-by-step approach starts by defining the problem and moves on to identifying relevant data.
We will also be performing data preparation, exploring and visualizing relationships, building models, tuning, evaluating, and deploying model.
Mark Strefford ISBN 13: 9781788839532 Packt Course Length: 1 hour 58 minutes November 2018 Video Overview: Build interactive chatbots, facial recognition, headline writers, and more.
No AI experience required!
Built for rookie AI enthusiasts across four realistic projects, this course covers modern techniques that make up the world of Artificial Intelligence.
Dive into your first natural language processing project, build a facial recognition system, and build your very own self driving steering code.
You will explore the use of neural networks and deep learning, and how you can train and test sets for feature extraction.
You'll be introduced to the Keras deep learning library, which you will use to predict taxi journey times, and to the use of natural language processing to find the most relevant articles in Wikipedia.
By the end of this video course, you will be confident enough to build your own AI projects with Python, and ready to take on more advanced content as you move on.
Wayne Merry ISBN 13: 9781788396073 Packt Course Length: 2 hours 21 minutes November 2018 Video Overview: Bring your Python full stack web development experience full circle by integrating your Django backend with a React frontend You will start by quickly setting up your tools and Node.
After that, you will put together your basic frontend code for interacting with your Django learn more here />You will learn to build and use React components for your application's UI, and work with your React code's data and state to determine how your application behaves.
You'll also explore routing and event handling for your application.
From there, you will delve into backend interaction details, such as authentication for login.
You will learn to consume your Django resources and also create, update, and delete item data.
You'll also learn specific tasks such as managing your bookmarks and counting and collecting likes and comments on your bookmarks.
By the end of this course, you will have successfully integrated your Python web application's backend with a React.
Tiago Antao ISBN 13: 9781789344691 Packt 360 Pages November 2018 Book Overview: Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data.
This book covers next-generation sequencing, genomics, metagenomics, population genetics, phylogenetics, and proteomics.
You'll learn modern programming techniques to analyze large amounts of biological data.
With the help of real-world examples, you'll convert, analyze, and visualize datasets using various Python tools and libraries.
Sandipan Dey ISBN 13: 9781789343731 Packt 492 Pages November 2018 Book Overview: Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks.
This book will touch the core of image processing, from concepts to code using Python.
The book will start from the classical image processing techniques and explore the evolution of image processing algorithms up to the recent advances in image processing or computer vision with deep learning.
We will learn how to use image processing libraries such as PIL, scikit-mage, and scipy ndimage in Python.
This book will enable us to write code snippets in Python 3 and quickly implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and classification.
We will be able to use machine learning models using the scikit-learn library and later explore deep CNN, such as VGG-19 with Keras, and we will also use an end-to-end deep learning model called YOLO for object detection.
We will also cover a few advanced problems, such as image inpainting, gradient blending, variational denoising, seam carving, quilting, and morphing.
Nirant Kasliwal ISBN 13: 9781789130386 Packt 182 Pages November 2018 Book Overview: Going from a Python developer to an effective Natural Language Processing Engineer NLP in Python is among the most sought after skills among data scientists.
With code and relevant case studies, this book will show how you can use industry-grade tools to implement NLP programs capable of learning from relevant data.
We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP.
The book takes you from the basics of NLP to building text processing applications.
We start with an introduction to the basic vocabulary along with a workflow for building NLP applications.
Simeon Kostadinov ISBN 13: 9781789132335 Packt 122 Pages November 2018 Book Overview: Learn how to develop intelligent applications with sequential learning and apply modern methods for language modeling with neural network architectures for deep learning with Python's most popular framework.
Developers struggle to find an easy-to-follow learning resource for implementing Recurrent Neural Network RNN models.
RNNs are the state-of-the-art model in deep learning for dealing with sequential data.
From language translation to generating captions for an image, RNNs are used to continuously improve results.
This book will teach you the fundamentals of RNNs, with example applications in Python and the library.
The examples are accompanied by the right combination of theoretical knowledge and real-world implementations of concepts to build a solid foundation of neural network modeling.
Your journey starts with the simplest RNN model, where you can grasp the fundamentals.
The book then builds on this by proposing more advanced and complex algorithms.
We use them to explain how a typical state-of-the-art RNN model works.
From generating text to building a language translator, we show how some of today's most powerful AI applications work under the hood.
After reading the book, you will be confident with the fundamentals of RNNs, and be ready to pursue further study, along with developing skills in this exciting field.
Brian Tuomanen ISBN 13: 9781788993913 Packt 310 Pages November 2018 Book Overview: Build real-world applications with Python 2.
With a solid background in place, you will now apply your new-found knowledge to develop your very own GPU-based deep neural network from scratch.
By the end of this book, you will be able to apply GPU programming to problems related to data science and high-performance computing.
Colibri Digital ISBN 13: 9781789618464 Packt Course Length: 2 hours 31 minutes November 2018 Video Overview: Dive right into the world of Computer Vision and AI by making five awesome, real-life applications with this hands-on course The scope of computer vision has been booming in the past few years and it has become a highly sought-after skill.
There are tons of real-life problems just waiting to be solved with computer vision.
If you want to get your hands dirty with this technology and use it to craft your own, unique solutions, then look no further because this course is made for you!
Quan Nguyen ISBN 13: 9781789343052 Packt 446 Pages November 2018 Book Overview: Immerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problems Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing.
Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time.
This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming.
Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock GIL.
Finally, you'll learn how to solve real-world concurrency problems through examples.
Syeda Seemab ISBN 13: 9781789138795 Packt Course Length: 2 hours 34 minutes November 2018 Video Overview: Build reactive applications with Python.
Make your applications concurrent and asynchronous with RxPY This practical guide will take you steadily through an exploration of Reactive Programming.
In this course, you will learn about Reactive Programming in Python using RxPY and simplify the way you write code and create robust enterprise applications.
The course covers the major libraries on Python reactive extensions RxPY and explains in detail the role of asynchronous programming and event-based programming in building reactive extensions.
You will look deep into its provided classes, methods, and operators, to help you to build a reactive application.
By the end of the course, you will be equipped to solve real-world problems and have a clear understanding of when and how you should use the different approaches demonstrated in RxPY.
Achim Takunda Munene ISBN 13: 9781788991575 Course Length: 6 hours 7 minutes November 2018 Video Overview: Dive into the world of Flask Framework in Python to build an array of simple yet powerful web applications This course will take you through Flask Microframework; it covers all its components and elements and how to integrate it with useful third-party libraries.
You will download all you need to get started with Flask development and then delve straight into the frontend and backend development stack.
The course will then show you the general flow in developing a Flask application, including some extensions used by developing a simple application.
You will then develop multiple applications python 3.7 blackjack as note-taking, social medias, and file sharing applications.
By the end of the course, you will be able to build your own web applications using Flask in Python.
Brian Allbee ISBN 13: 9781788622011 Packt 736 Pages October, 2018 Book Overview: Explore various verticals in software engineering through high-end systems using Python Software Engineering is about more than just writing code—it includes a host of soft skills that apply to almost any development effort, no matter what the language, development methodology, or scope of the project.
Being a senior developer all but requires awareness of how those skills, along with their expected technical counterparts, mesh together through a project's life cycle.
This book walks you through that discovery by going over the entire life cycle of a multi-tier system and its related software projects.
You'll see what happens before any development takes place, and what impact the decisions and designs made at each step have on the development process.
The development of the entire project, over the course of several iterations based on real-world Agile iterations, will be executed, sometimes starting from nothing, in one of the fastest growing languages in the world—Python.
Application of practices in Python will be laid out, along with a number of Python-specific capabilities that are often overlooked.
Finally, the book will implement a high-performance computing solution, from first principles through complete foundation.
Basant Agarwal ISBN 13: 9781788995573 Packt 398 Pages October, 2018 Book Overview: Learn to implement complex data structures and algorithms using Python This book helps you to understand the power of linked lists, double linked lists, and circular linked lists.
You will learn to create complex data structures, such as graphs, stacks, and queues.
As you make your way through the chapters, you will explore the application of binary searches and binary search trees, along with learning common techniques and structures used in tasks such as preprocessing, modeling, and transforming data.
In the concluding chapters, you will get to grips with organizing your code in a manageable, consistent, and extendable way.
You will also study how to bubble sort, selection sort, insertion sort, and merge sort algorithms in detail.
By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications.
You will get insights into Python implementation of all the important and relevant algorithms.
You will train machine learning algorithms to classify flowers, predict house price, identify handwritings or digits, identify staff that is most likely to leave prematurely, detect cancer cells and much more!
By the end of this course, you will have a Portfolio of 12 Machine Learning projects that will help you land your dream job or enable you to solve real-life problems in your business, job or personal life with Machine Learning algorithms.
Rajeev Ratan ISBN 13: 9781789616521 Packt Course Length: 6 hours 14 minutes October 2018 Video Overview: Learn Computer Vision concepts by building 12 projects, including handwriting recognition, face filters, and car and people detection!
Computer vision applications and technology are exploding right now, with several apps and industries making amazing use of the technology—ranging from up-and-coming apps such as MSQRD, and PRISMA to billion-dollar apps such as Pokémon GO and Snapchat!
Even Facebook, Google, Microsoft, Apple, Amazon, and Tesla are all heavily utilizing computer vision for face and object recognition, image searching, and especially in self-driving cars!
As a result, the demand for computer vision expertise is growing exponentially!
However, learning computer vision is hard!
Existing online tutorials, textbooks, and free MOOCs are often outdated, using older and incompatible libraries, or are too theoretical, making the subject difficult to understand.
This was the author's problem when learning Computer Vision and it became incredibly frustrating.
Even simply running example code found online proved difficult as libraries and functions were often outdated.
The author created this course to teach you all the key concepts without the heavy mathematical theory—all the while using the most up-to-date methods.
At the end of the course, you will be able to build 12 awesome Computer Vision apps using OpenCV the best supported open-source computer vision library that exists today!
Using it in Python is just fantastic as Python allows us to focus on the problem at hand without getting bogged down in complex code.
If you're an academic or college student but want to learn more, the author still points you in the right direction by linking the research papers for continue reading used.
So if you want to get an excellent foundation in Computer Vision, look no further.
This is the course for you!
ISBN 13: 9781789618976 Course Length 6 hours 59 minutes October 2018 Video Overview: This course will take you on a journey where you'll learn how to code in Python.
You will learn how to use Python in a real working environment and explore how Python can be applied in the world of Finance to solve portfolio optimization problems.
The first part of the course is ideal for beginners and people who want to brush up on their Python skills.
And then, once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks.
The Finance block of this course will teach you in-demand, real-world skills employers are looking for.
This explains topics such as how to work with Python's conditional statements, functions, sequences, and loops, build investment portfolios, and more.
The code bundle for this video course is available at.
Alex Galea ISBN 13: 9781789958171 Packt 192 Pages MONTH YEAR Book Overview: Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.
In this book, you'll learn every aspect of the standard data workflow process, including collecting, cleaning, investigating, visualizing, and modeling data.
You'll start with the basics of Jupyter, which will be the backbone of the book.
After familiarizing ourselves with its standard features, you'll look at an example of it in practice with our first analysis.
In the next lesson, you dive right into predictive analytics, where multiple classification algorithms are implemented.
Finally, the book ends by looking at data collection techniques.
You'll see how web data can be acquired with scraping techniques and via APIs, and then briefly explore interactive visualizations.
Romain Picard ISBN 13: 9781789138726 Packt Course Length: 12 hours 36 minutes October 2018 Video Overview: A comprehensive guide to help you understand the principles of Reactive and asynchronous programming and its benefits This hands-on guide gets you started with Reactive Programming RP in Python.
You will learn abouta the principles and benefits of using RP, which can be leveraged to build powerful concurrent applications.
As you progress through the chapters, you will be introduced to the paradigm of Functional and Reactive Programming FaRPobservables and observers, and concurrency and parallelism.
The book will then take you through the implementation of an audio transcoding server and introduce you to a library that helps in the writing of FaRP code.
You will understand how to use third-party services and dynamically reconfigure an application.
By the end of the book, you will also have learned how to deploy and scale your applications with Docker and Traefik and explore the significant potential behind the reactive streams concept, and you'll have got to grips with a comprehensive set of best practices.
Perform accurate and reliable processing tasks with Computer vision using OpenCV This course begins with the basics of loading and working with images.
You will detect colored objects in your images easily.
You will also use tools to build and apply filters in your photos and track objects in a video.
By the end of the course, you will have a firm grasp of Computer Vision techniques using OpenCV libraries.
This course will be your gateway to the world of data science.
ISBN 13: 9781788397414 Packt Course Length: 1 hour 46 minutes October 2018 Book OR Video Overview: Build amazing and complex reactive web applications with Vue.
You'll earn the concepts that you need to know about Vue.
You'll build an application as you go, putting the concepts we've explained into practice.
Several modern tools such as Webpack, vue-cli, hot reloading, and vue devtools will be used to develop modern web applications, focusing on the view layer to provide the most performant experience for users.
Also you will use the vue-cli-based Webpack template and look at how we can build on top of that starter kit.
By the end of this course, you will be able commit sky ute casino blackjack rules safe build complex and large web applications with Vue.
With this book, see more will get to grips with reactive programming by steadily exploring various concepts This hands-on guide gets you started with Reactive Programming RP in Python.
You will learn abouta the principles and benefits of using RP, which can be leveraged to build powerful concurrent applications.
As you progress through the chapters, you will be introduced to the paradigm of Functional and Reactive Programming FaRPobservables and observers, and concurrency and parallelism.
The book will then take you through the implementation of an audio transcoding server and introduce you to a library that helps in the writing of FaRP code.
You will understand how to use third-party services and dynamically reconfigure an application.
By the end of the book, you will also have learned how to deploy and scale your applications with Docker and Traefik and explore the significant potential behind the reactive streams concept, and you'll have got to grips with a comprehensive set of best practices.
Flask is a popular Python framework known for its lightweight and modular design.
Mastering Flask Web Development will take you on a complete tour of the Flask environment and teach you how to build a production-ready application.
You'll begin by learning about the installation of Flask and basic concepts such as MVC and accessing a database using an ORM.
You will learn how to structure your application so that it can scale to any size with the help of Flask Blueprints.
You'll then learn how to use Jinja2 templates with a high level of expertise.
You will also learn how to develop with SQL or NoSQL databases, and how to develop REST APIs and JWT authentication.
Next, you'll move on to build role-based access security and authentication using LDAP, OAuth, OpenID, and database.
Also learn how to create asynchronous tasks that can scale to any load using Celery and RabbitMQ or Redis.
You will also be introduced to a wide range of Flask extensions to leverage technologies such as cache, localization, and debugging.
You will learn how to build your own Flask extensions, how to write tests, and how to get test coverage reports.
Finally, you will learn how to deploy your application on Heroku and AWS using various technologies, such as Docker,and Elastic Beanstalk, and will also learn how to develop Jenkins pipelines to build, test, and deploy applications.
Eduonix Learning Solutions ISBN 13: 9781789536591 Packt 134 Pages October 2018 Book Overview: Create real-world machine learning solutions usingpandas, matplotlib, and scikit-learn Machine Learning ML has changed the way organizations and individuals use data to improve the efficiency of a system.
ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data.
Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies for creating powerful solutions for healthcare analytics.
This book will teach you how to implement key machine learning algorithms and walk you through their use cases by employing a range of libraries from the Python ecosystem.
You will build five end-to-end projects to evaluate the efficiency of Artificial Intelligence AI applications for carrying out simple-to-complex healthcare analytics tasks.
With each project, you will gain new insights, which will then help you handle healthcare data efficiently.
As you make your way through the book, you go here use ML to detect cancer in a set of patients using support vector machines SVMs and k-Nearest neighbors KNN models.
In the final chapters, you will create a deep neural network in Keras to predict the onset of diabetes in a huge dataset of patients.
You will also learn how to predict heart diseases using neural networks.
Kevin Jolly ISBN 13: 9781789343700 Packt 172 Pages October 2018 Book Overview: Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering.
Scikit-learn is a robust machine learning library for the Python programming language.
It provides a set of supervised and unsupervised learning algorithms.
This book is the easiest way to learn how to deploy, optimize, and evaluate all of the important machine learning algorithms that scikit-learn provides.
This book teaches you how to use scikit-learn for machine learning.
You will start by setting up and configuring your machine learning environment with scikit-learn.
To put scikit-learn to use, you will learn how to implement various supervised and unsupervised machine learning models.
You will learn classification, regression, and clustering techniques to work with different types of datasets and train your models.
Matthew Lamons, Rahul Kumar, Abhishek Nagaraja ISBN 13: 9781788997096 Packt 472 Pages October 2018 Book Overview: Insightful projects to master deep learning and neural network architectures using Python and Keras Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.
Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision.
Each of these projects is unique, helping you progressively master the subject.
José Manuel Ortega ISBN 13: 9781788992510 Packt 426 Pages September 2018 Book Overview: Master Python scripting to build a network and perform security operations Python is being used for increasingly advanced tasks, with the latest update introducing many new packages.
This book focuses on leveraging these updated packages to build a secure network with the help of Python scripting.
This book covers topics from building a network to the different procedures you need to follow to secure it.
As you progress through the chapters, you will also learn how to achieve endpoint protection by leveraging Python packages along with writing forensic scripts.
By the end of this book, you will be able to get the most out of the Python language to build secure and robust networks that are resilient to attacks.
Jaime Buelta ISBN 13: 9781789133806 Packt 398 Pages September 2018 Book Overview: Step-by-step instructions which take you through each program to automate monotonous tasks with Python 3.
Alan Fontaine ISBN 13: 9781789617740 Packt 154 Pages September 2018 Book Think, slotsbonus what Learn advanced techniques to improve the performance and quality of your predictive models Python is a programming language that provides a wide range of features that can be used in the field of data science.
Mastering Predictive Analytics with scikit-learn and covers various implementations of ensemble methods, how they are used with real-world datasets, and how they improve prediction accuracy in classification and regression problems.
This book starts with ensemble methods and their features.
You will see that scikit-learn provides tools for choosing hyperparameters for models.
As you make your way through the book, you will cover the nitty-gritty of predictive analytics and explore its features and characteristics.
You will also be introduced to artificial neural networks andand how it is used to create neural networks.
In the final chapter, you will explore factors such as computational power, along with improvement methods and software enhancements for efficient predictive analytics.
By the end of this book, you will be well-versed in using deep neural networks to solve common problems in big data analysis.
Sam Bowne ISBN 13: 9781788398343 Packt Course Length: 2 hours 53 minutes September 2018 Video Overview: Create simple binary exploits with Python This video course starts with high-level code injection, the simplest sort of exploit.
It then explains binary exploits that allow you to skip past unwanted code, such as the password or product key tests, and add Trojan code.
You will perform the exploit development process: finding a vulnerability, analyzing a crash in a debugger, creating a crafted attack, and achieving remote code execution on Windows and Linux.
You will use the gdb debugger to analyze Linux executables and Python code to exploit them.
On Windows, you'll use the Immunity debugger and Python.
This course uses a demonstration-and-challenge approach which guides students from passive observation to practical implementation of binary exploit at development techniques.
Sean Saito, Yang Wenzhuo and Rajalingappaa Shanmugamani ISBN 13: 9781788991612 Packt 296 Pages September 2018 Book Overview: Deploy autonomous agents in business systems using powerful Python libraries and sophisticated reinforcement learning models Reinforcement learning RL is the next big leap in the artificial intelligence domain, given that it is unsupervised, optimized, and fast.
Python Reinforcement Learning Projects takes you through various aspects and methodologies of reinforcement learning, with the help of insightful projects.
You will learn about core concepts of reinforcement learning, such as Q-learning, Markov models, the Monte-Carlo process, and deep reinforcement learning.
In addition to this, you will learn how to tune and configure RL algorithms and parameters by building agents for different kinds of games.
By the end of this book, you will have created eight real-world projects that explore reinforcement learning and will have handson experience with real data and artificial intelligence AI problems.
Ankur Ankan and Abinash Panda ISBN 13: 9781788625449 Packt 178 Pages September 2018 Book Overview: Unleash the power of unsupervised machine learning in Hidden Markov Models usingpgmpy, and hmmlearn Hidden Markov Model HMM is a statistical model based on the Markov chain concept.
Hands-On Markov Models with Python blackjack odds vegas casinos you get to grips with HMMs and different inference algorithms by working on real-world problems.
The hands-on examples explored in the book help you simplify the process flow in machine learning by polo shop Markov model concepts, thereby making it accessible to everyone.
By the end of this book, you will have grasped how to build your own Markov and hidden Markov models on complex datasets in order to apply them to projects.
Deepti Chopra, Iti Mathur, Nisheeth Joshi ISBN 13: 9781789618358 Packt Course Length: 1 hour 37 minutes August 2018 Video Overview: Explore various NLP tasks while enhancing your Python skills in real-world scenarios!
This course will give you expertise on how to employ various NLP tasks in Python, giving you an insight into the best practices when designing and building NLP-based applications using Python.
It will help you become an expert in no time and assist you in creating your own NLP projects using NLTK.
You will sequentially be guided through applying machine learning tools to develop various models.
Taylor Smith ISBN 13: 9781789347654 Packt Course Length: 3 hours 6 minutes August 2018 Video Overview: Teach your machine to think for itself!
This course will guide you through the implementation and nuances of many popular supervised machine learning algorithms while facilitating a deep understanding along the way.
It solves real-world problems in the areas of health, population analysis, and figuring out buying behavior, and more.
In this course you will build powerful projects using Scikit-Learn.
Using algorithms, you will learn to read trends in the market to address market demand.
You'll delve more deeply to decode buying behavior using Classification algorithms; cluster the population of a place to gain insights into using K-Means Clustering; and create a model using Support Vector Machine classifiers to predict heart disease.
Andy Craze ISBN 13: 9781789138580 Packt Course Length: 1 hour 47 minutes August 2018 Video Overview: Use Selenium automation, to save you time when testing in Python This course introduces Python users to Selenium.
It will help users with basic programming knowledge to start code-testing.
This course will help users cut down on their time spent on testing code written in Python.
Next, you will explore the biggest strength of Selenium: integrating your test instances with the browser of your choice.
You will then actually test an authentication system in a sequential manner by following each of the required steps.
By the end of the course, you will be able to provide your customers and clients with better quality code in less time, enhancing customer satisfaction!
Alvaro Fuentes ISBN 13: 9781789531701 Packt 178 Pages August 2018 Book Overview: Enhance your data analysis and predictive modeling skills using popular Python tools In this book, we will cover Python libraries such aspandas, matplotlib, seaborn,and scikit-learn, and apply them in practical data analysis and statistics examples.
As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using and the pandas library.
In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques.
By the end of this book, you will have hands-on experience performing data analysis with Python.
Hands-On Bitcoin Programming with Python teaches you to build software applications for mining and creating Bitcoins click here Python.
This book starts with the basics of both Bitcoin and blockchain and gives you an overview of these inherent concepts by showing you how to build Bitcoin-driven applications with Python.
Packed with clear instructions and practical examples, you will learn to understand simple Python coding examples that work with this cryptocurrency.
Alessandro Molina ISBN 13: 9781788830829 Packt 366 Pages August 2018 Book Overview: Build optimized applications in Python by https://chakefashion.com/blackjack/double-bet-in-blackjack.html implementing the standard library The Python 3 Standard Library is a vast array of modules that you can use for developing various kinds of applications.
It contains an exhaustive list of libraries, and this book will help you choose the best one to address specific programming problems in Python.
The Modern Python Standard Library Cookbook begins with recipes on containers and data structures and guides you in performing effective text management in Python.
You will find Python recipes for command-line operations, networking, filesystems and directories, and concurrent execution.
You will learn about Python security essentials in Python and get to grips with various development tools for debugging, benchmarking, inspection, error reporting, and tracing.
The book includes recipes to help you create graphical user interfaces for your application.
You will learn to work with multimedia components and perform mathematical operations on date and time.
The recipes will also show you how to deploy different searching and sorting algorithms on your data.
Mariano Anaya ISBN 13: 9781788835831 Packt 332 Pages August 2018 Book Overview: Getting the most out of Python to improve your codebase The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming.
You will learn about writing efficient and readable code using the Python standard library and best practices for software design.
You will learn to implement the SOLID principles in Python and use decorators to improve your code.
The book delves more deeply into object oriented programming in Python and shows you how to use objects with descriptors and generators.
It will also show you the design principles of software testing and how to resolve software problems by implementing design patterns in your code.
In the final chapter we break down a monolithic application to a microservice one, starting from the code as the basis for a solid platform.
By the end of the book, you will be proficient in applying industry approved coding practices to design clean, sustainable and readable Python code.
Melissa Dale ISBN 13: 9781788835794 Packt Course Length: 2 hours 13 minutes August 2018 Video Overview: Optimize Pycharm's strength to develop application easily.
Bruno Oliveira ISBN 13: 9781789347562 Packt 160 Pages August accept paypal sites that blackjack Book Overview: Learn the pytest way to write simple tests which can also be used to write complex tests Python's standard unittest module is based on the xUnit family of frameworks, which has its origins in Smalltalk and Java, and tends to be verbose to use and not easily extensible.
The pytest framework on what a dealer make in vegas other hand is very simple to get started, but powerful enough to cover complex testing integration scenarios, being considered by many the true Pythonic approach to testing in Python.
You will also see how to use pytest in existing unittest-based test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily.
Eric Chou ISBN 13: 9781789135992 Packt 466 Pages August 2018 Book Overview: Master the art of using Python for a diverse range of network engineering tasks Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced.
Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers.
This book begins by reviewing the basics of Python and teaches you how Python can interact with both legacy and API-enabled network devices.
As you make your way through the chapters, you will then learn to leverage high-level Python packages and frameworks to perform network engineering tasks for automation, monitoring, management, and enhanced security.
In the concluding chapters, you will use Jenkins for continuous network integration as well as testing tools to verify your network.
Rajesh Arumugam, Rajalingappaa Shanmugamani ISBN 13: 9781789139495 Packt 312 Pages July 2018 Book Overview: Foster your NLP applications with the help of deep learning, NLTK, and Natural language processing NLP has found its application in various domains, such as web search, advertisements, and source services, and with the help of deep learning, we can enhance its performances in these areas.
To begin with, you will understand the core concepts of NLP and deep learning, such cannot blackjack on consider Convolutional Neural Networks CNNsrecurrent neural networks RNNssemantic embedding, Python 3.7 blackjack, and more.
You will learn how to perform each and every task of NLP using neural networks, in which you will train and deploy neural networks in your NLP applications.
You will get accustomed to using RNNs and CNNs in various application areas, such as text classification and sequence labeling, which are essential in the application of sentiment analysis, customer service chatbots, and anomaly detection.
You will be equipped with practical knowledge in order to implement deep learning in your linguistic applications using Python's popular deep learning library.
Rounak Banik ISBN 13: 9781788993753 Packt 146 Pages July 2018 Book Overview: With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems collaborative, knowledge and content based and deploying them to the web This book shows you how to do just that.
You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python.
No need to wade through tons of machine learning theory—you'll get started with building and learning about recommenders as quickly as possible.
In this book, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata.
You'll use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques With this book, all you need to get started with building recommendation systems is a familiarity with Python, and by the time you're fnished, you will have a great grasp of how recommenders work and be in a strong position to apply the techniques that you will learn to your own problem domains.
Joran Beasley ISBN 13: 9781788472784 Packt Course Length: 3 hours 16 minutes July 2018 Video Overview: Learn Python like a Professional!
Start from the basics and go all the way to create your program in it.
In this course, you will start by setting up your development environment, including downloading Python and setting up your IDE ; you'll then be introduced to Python lists and list comprehensions.
The course will then show you what a generator is and why you might want to use one.
Further on, you will be introduced to functions and decorators, and see how you can use them.
You will then learn how to create a very simple, single-file Python program, and how to execute it both from the command line and from within the IDE.
You'll also get a very brief introduction to debugging.
By the end of the course, you'll have learned how to manipulate strings, parsing and printing them.
Wayne Merry ISBN 13: 9781788293143 Packt Course Length: 2 hours 49 minutes July 2018 Video Overview: Take your skills with Python to the next level by guiding you to pick the right stack.
With the growing demand for full-stack developers, it is important to learn how you can combine the powers of Python with other libraries to create amazing applications.
Django has basic front-end support but we show how complex operations can be performed at the front-end.
We show you how to unleash the power of Python's Rest API and other functionalities to create compelling applications powered by ReactJS.
We will be using a production-level database such as Postgres.
Delving into key aspects such as code reusability, deployment and maintaining your application, we discuss production server configuration and bundle technologies with Python to provide an end-to-end web development solution.
Colibri Ltd ISBN 13: 9781789138535 Packt Course Length: 2 hours and 38 minutes July 2018 Video Overview: From first-class functions to abstract base classes, apply Pythonic tricks to your application and be a Python rockstar This course is will take you from a Python outsider to an insider.
You will benefit from insights from the Python documentation, PEPs, and online developer communities to learn the ultimate Pythonic ways to tackle common programming patterns.
This course covers tips, tricks, and techniques for loops, data structures, object-oriented programming, functions, and more, helping you work on ordered collections and key-value stores for dictionaries.
You will be able to increase the speed and performance of your code while making it easier to debug.
Start writing cleaner code for your applications and learn to organize it better in just 3 hours.
It is packed full of useful tips and relevant advice which can be applied to real, commercial products.
Throughout the course, we maintain a focus on practicality and getting things done, not fancy programming concepts and theory.
Mihai Costea ISBN 13: 9781789139235 Packt Course Length: 3 hours 17 minutes July 2018 Video Overview: Improve your application development process to build efficient apps with Python The course starts by dealing with performance issues and learning how to tackle them in an application.
Distributing an application with Python is not easy but you will learn ways to distribute applications developed using Python along with GUIs, web applications, and more.
Further, you will learn to test your application at different levels and use modern software at the development stage.
You will also learn to expand productivity using standard and third-party tools.
Finally, you will learn to protect your code quality from potential errors and detect any problem at an early stage, to prevent any issues later.
You will start by exploring Python issues and how to diagnose them.
Then you will be introduced to the most popular ways to distribute Python applications.
Next, you will test applications and use modern software in the development process.
Finally, you will learn to expand your productivity and manage code quality to prevent any issues later.
Rudy Lai ISBN 13: 9781788995337 Packt Course Length: 2 hours 50 minutes July 2018 Video Overview: Tackle Python performance problems and speed up your apps with parallelism, concurrent execution, and OOP Troubleshooting Python Application Development is your answer.
This course takes you through a structured journey of performance problems that your application is likely to encounter, and presents both the intuition and the solution to click issues.
You'll get things done, without a lengthy detour into how Python is implemented or computational theory.
The course is full of hands-on instructions, interesting and illustrative visualizations, and, clear explanations from a data scientist.
It is packed full of useful tips and relevant advice.
Throughout the course, we maintain a focus on practicality and getting things done, not fancy mathematical theory.
Eric Chou ISBN 13: 9781788994583 Packt XXX Please click for source OR Course Length: 3 hours 3 minutes July 2018 Video Overview: The complete guide that will help you create and automate your network with Python The goal of the course is to master key Python concepts as they are applied in the network engineering context.
Computer Networks, large and small, has become ever increasingly software-driven in the last several years.
A typical network engineer faces the challenge of learning a completely new discipline that normally takes years to master.
This course will use Python, an easy-to-learn, popular first-time-programmer language as the foundation to bridge the gap for network engineers facing the automation challenge, this will help network engineers become experts in using Python for networking.
The video will start by demonstrating how to use Python and supported libraries to automate network tasks.
Then you will get familiar with the concepts and work with the Ansible framework in order to achieve your network goals.
You will then come across ways to monitor your network using Python.
Besides this, you will develop a good understanding and explore ways to solve issues related to the security wheel that treats the network as one single entity instead of dispersing components.
By the end of the course, the students will master skills required to accomplish advance network automation using Python.
Colibri Ltd ISBN 13: 9781789345612 Packt Course Length: 2 hours 46 minutes July 2018 Video Overview: A complete Python guide to Natural Language Processing to build spam filters, topic classifiers, and sentiment analyzers There is an overflow of text data online nowadays.
As a Python developer, you need to create click new solution using Natural Language Processing for your next project.
Your colleagues depend on you to monetize gigabytes of unstructured text data.
What do you do?
Hands-on NLP with NLTK and scikit-learn is the answer.
This course puts you right on the spot, starting off with building a spam classifier in our first video.
At the end of the course, you remarkable beat blackjack now review speaking going to walk away with three NLP applications: a spam filter, a topic classifier, and a sentiment analyzer.
There is no need for fancy mathematical theory, just plain English explanations of core NLP concepts and how to apply those using Python libraries.
Taking this course will help you to precisely create new applications with Python and NLP.
You will be able to build actual solutions backed by machine learning and NLP processing models with ease.
Alberto Boschetti, Luca Massaron ISBN 13: 9781789616057 Packt Course Length: 1 hours 50 minutes July 2018 Video Overview: Become an efficient data science practitioner by understanding Python's key concepts This course will make you look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and.
We start with SVM and random forest for classification and regression.
We look at big data, deep learning, and language processing.
Then click here use graph analysis techniques for very interesting and trending social media analytics.
Finally, we take a complete overview of the principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment tools that make it easier to present your results to an audience of both data science experts and business users.
Cyrille Rossant ISBN 13: 9781789539219 Packt Course Length: 2 hours 38 minutes July 2018 Video Overview: Use IPython and Jupyter Notebook to sharpen your skills for your data analysis and visualization tasks Machine learning and data analysis are the center of attraction for many engineers and scientists.
The reason is quite obvious: its vast application in numerous fields and booming career options.
And Python is one of the leading open source platforms for data science and numerical computing.
IPython, and its associated Jupyter Notebook, provide Python with efficient interfaces to for data analysis and interactive visualization, and they constitute an ideal gateway to the of bets blackjack types in />If you are among those seeking to enhance their capabilities in machine learning, then this course is the right choice.
Statistical Methods and Applied Mathematics in Data Science provides many easy-to-follow, ready-to-use, and focused recipes for data analysis and scientific computing.
This course tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics.
Harwani ISBN 13: 9781788831000 Packt 462 Pages July 2018 Book Overview: Over 60 recipes to help you design interactive, smart, and cross-platform GUI applications is one of the best cross-platform interface toolkits currently available; it's stable, mature, and completely native.
If you want control over all aspects of UI elements, is what you need.
This book will guide you through every concept necessary to create fully functional GUI applications usingwith only a few lines of code.
As you expand your GUI using more widgets, you will cover networks, databases, and graphical libraries that greatly enhance its functionality.
Next, the book guides you in using Qt Designer to design user interfaces and implementing and testing dialogs, events, the clipboard, and drag and drop functionality to customize your GUI.
You will learn a variety of topics, such as look and feel customization, GUI animation, graphics rendering, implementing Google Maps, and more.
Luis Pedro Coelho, Willi Richert, Matthieu Brucher ISBN 13: 9781788623223 Packt 406 Pages July 2018 Book Overview: Get more from your data by creating practical machine learning systems with Python This book shows you exactly how to find patterns in your raw data.
You will start by brushing up on your Python machine learning knowledge and being introduced to libraries.
You'll quickly get to grips with serious, real-world projects on datasets, using modeling and creating recommendation systems.
By the end of this book, you will be able to build machine learning systems using techniques and methodologies such as classification, sentiment analysis, computer vision, reinforcement learning, and neural networks.
Abdulwahid Abdulhaque Barguzar ISBN 13: 9781788837613 Packt 324 Pages July 2018 Book Overview: Master serverless architectures in Python and their implementation, with Zappa on three different frameworks.
Serverless applications are becoming very popular these days, not just because they save developers the trouble of managing the servers, but also because they provide several other benefits such as cutting heavy costs and improving the overall performance of the application.
This book will help you build serverless applications in a quick and efficient way.
We begin with an introduction to AWS and the API gateway, the environment for serverless development, and Zappa.
We then look at building, testing, and deploying apps in AWS with three different frameworks--Flask, Django, and Pyramid.
Setting up a custom domain along with SSL certificates and configuring them with Zappa is also covered.
A few advanced Zappa settings are also covered along with securing Zappa with AWS VPC.
Finally, you will explore how to deploy your applications to the cloud using the spark-submit command.
By the end of this book, you will be able to use the Python API for Apache Spark to solve any problems associated with building data-intensive applications.
Sudharsan Ravichandiran ISBN 13: 9781788836524 Packt 318 Pages June 2018 Book Overview: A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and.
You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration.
This example-rich guide will introduce you to deep reinforcement learning algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO.
You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many more of the recent advancements in reinforcement learning.
By the end of the book, you will have all the knowledge and experience needed to implement reinforcement learning and deep reinforcement learning in your projects, and you will be all set to enter the world of artificial intelligence.
Umit Mert Cakmak, Mert Cuhadaroglu ISBN 13: 9781788993357 Packt 248 Pages June 2018 Book Overview: Enhance the power of and start boosting your scientific computing capabilities Beginning with 's arrays and functions, you will familiarize yourself with blackjack house edge algebra concepts to perform vector and matrix math operations.
You will thoroughly understand and practice data processing, exploratory data analysis EDAand predictive modeling.
You will then move on to working on practical examples which will teach you how to use statistics in order to explore US housing data and develop a predictive model using simple and multiple linear regression techniques.
Once you have got to grips with the basics, you will explore unsupervised learning and clustering algorithms, followed by understanding how to write better code while keeping advanced considerations in mind.
The book also demonstrates the use of different high-performance numerical computing libraries and their relationship with.
You will study how to benchmark the performance of different configurations and choose the best for your system.
By the end of this book, you will have become an expert in handling and performing complex data manipulations.
Fabrizio Romano ISBN 13: 9781788996662 Packt 508 Pages June 2018 Book Overview: Build a solid foundation in coding by utilizing the language and its core characteristics You will begin by exploring the foundations of and fundamental topics on Python and learn to manipulate them.
As you make your way through the chapters, you'll control the flow of a program, and persist and utilize an interchange format to exchange data.
You'll also walk through cryptographic services in Python and understand secure tokens.
Throughout, the book covers various types of applications, and it concludes with building real-world applications based on all the concepts that you learned.
By the end of the book, you'll have a proper understanding of the Python language and a solid grasp on how to work with data.
You'll know how to quickly build a website and harness the power of Python's renowned data science libraries.
Next, we will walk you through automating administration tasks with Python Fabric, where you will learn to perform server configuration and administration, along with system administration tasks such as user management, database management, and process management.
In the concluding chapters, you will cover Python-based offensive security tools and learn how to automate your security tasks.
By the end of this book, you will have mastered the skills of automating several system administration tasks with Python.
Chiheb Chebbi ISBN 13: 9781788997409 Packt 276 Pages June 2018 Book Overview: Become a master at penetration testing using machine learning with Python This book begins with the basics of machine learning and the algorithms used to build robust systems.
By the end of this book, you will be well-versed with identifying loopholes in a self-learning security system and will be able to efficiently breach a machine learning system Ashish Singh Bhatia ISBN 13: 9781788997591 Packt Course Length: 3 hours June 2018 Video Overview: Step into the world of read more create deep learning models with the help of real-world examples is a Deep Learning framework that is a boon for researchers and data scientists.
It supports Graphic Processing Units and is a platform that provides maximum flexibility and speed.
Withyou can dynamically build neural networks and easily perform advanced Artificial Intelligence tasks.
The course starts with the fundamentals of and how to use basic commands.
The next project shows you how to predict character sequence using Recurrent Neural Networks RNN and Long Short Term Memory Network LSTM.
So, grab this course as it will take you through interesting real-world projects to train your first neural nets.
This video course will start by showing you how to set up Anaconda Python for the major OSes with cutting-edge third-party libraries for computer vision.
Alex Galea ISBN 13: 9781789532029 Packt 194 Pages June 2018 Book Overview: Getting started with data science doesn't have to be an uphill battle.
This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.
Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course.
blackjack switch beatable learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world.
We'll finish up by showing you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context.
Christian Martorella ISBN 13: 9781789533972 Packt 138 Pages June 2018 Book Overview: Leverage the simplicity of Python and available libraries to build web security testing tools for your application Learning Python Web Penetration Testing will walk you through the web application penetration testing click the following article, showing you how to write your own tools with Python for each activity throughout the process.
The book begins by emphasizing the importance of knowing how to write your own tools with Python for web application penetration testing.
You will then learn to interact with a web application using Python, understand the anatomy of an HTTP request, URL, headers and message body, and later create a script to perform a request, and interpret the response and its headers.
As you make your way through the book, you will write a web crawler using Python and the Scrappy library.
The book will also help you to develop a tool to perform brute force attacks in different parts of the web application.
Lentin Joseph ISBN 13: 9781788623315 Packt 280 Pages June 2018 Book Overview: Design, simulate, and program interactive robots Robot Operating System ROS is one of the most popular robotics software frameworks in research and industry.
It has various features for implementing different capabilities in a robot without implementing them from scratch.
This book starts by showing you the fundamentals of ROS so you understand the basics of differential robots.
Then, you'll learn about robot modeling and how to design and simulate it using ROS.
Moving on, we'll design robot hardware and interfacing actuators.
Then, you'll learn to configure and program depth sensors and LIDARs using ROS.
Finally, you'll create a GUI for your robot using the Qt framework.
By the end of this tutorial, you'll have a clear idea of how to integrate and assemble everything into a robot and how to bundle the software package.
Das ISBN 13: 9781787122529 Packt 396 Pages June 2018 Book Overview: Fix everyday testing problems in Python with the help of this solution-based guide Automated testing is the best way to increase efficiency while reducing the defects of software testing.
It helps find bugs in code easily and at an early stage so that they can be tackled efficiently.
This book delves into essential testing concepts used in Python to help you build robust and maintainable code.
Python Testing Cookbook begins with a brief introduction to Python's unit testing framework to help you write automated test cases.
You will learn how to write suitable test sets for your software learn more here run automated test suites with Nose.
You will then work with the unittest.
You will also see how to apply Test-driven Development TDD and Behavior-driven Development BDD and how to eliminate issues caused by TDD.
It also covers best practices and will help you solve persistent testing issues in Python.
The book concludes by helping you understand how doctest works and how Selenium can be used to test code efficiently.
Arish Ali ISBN 13: 9781788999137 Packt Course Length: 2 hours 22 minutes June 2018 Video Overview: Build powerful Machine Learning models using Python with hands-on practical examples in just a week.
online poker lobbies learning is one of the most sought-after skills in the market.
But have you ever wondered where to start or found the course not so easy to follow.
With this hands-on and practical machine learning course, you can learn and start applying machine learning in less than a week without having to be an expert mathematician.
In this course, you will be introduced to a new machine learning aspect in each section followed by a practical assignment as a homework to help you in efficiently implement the learnings in a practical manner.
With the systematic and fast-paced approach to this course, learn machine learning using Python in the most practical and structured way to develop machine learning projects in Python in a week.
This course is structured to unlock the potential of Python machine learning in the shortest amount of time.
If you are looking to upgrade your machine learning skills using Python in the quickest possible time, then this course is for you!
Stefan Jansen ISBN 13: 9781788992855 Packt Course Length: 3 hours 34 minutes June 2018 Video Overview: Use Python to apply market basket analysis, PCA and dimensionality reduction, as well as cluster algorithms This course explains the most important Unsupervised Learning algorithms using real-world examples of business applications in Python code.
Say you have millions of transaction data on products purchased at a retailer.
Which individual products or product categories are most likely to be purchased together?
How about a large number of survey responses — which answers were most often given together, for all or some subset of respondents?
Association Rules provide answers to these questions, and they are most frequently used in Market Basket Analysis.
The Apriori Algorithms solves the formidable computational challenges of calculating Association Rules.
After taking this course, you will be understanding and be able to apply the Apriori Algorithm to calculate, interpret and create interactive visualizations of association rules.
This course will allow you to utilize Principal Component Analysis, and to visualize and interpret the results of your datasets such as the ones in the above description.
You will also be able to apply hard and soft clustering methods k-Means and Gaussian Mixture Models to assign segment labels to customers categorized in your sample data sets.
Rudy Lai ISBN 13: 9781788995931 Packt Course Length: 2 hours 36 minutes June 2018 Video Overview: App development, data science, automation, web scraping or computer vision—Make the switch to Python quickly You are a programmer.
You already know many languages, but Python isn't one of them.
Today, you need to get up-to-speed with Python in a short period of time, but your search has so far come up with disconnected, unrelated tutorials or guides.
Learn Python in 3 hours is a fast-paced, action-packed course that maximizes your time; it's designed from the ground up to bring you from zero to hero in the shortest time.
The course is based on many years of Python development experience in both large enterprises and nimble startups.
In particular, the course's python 3.7 blackjack and practical approach comes from the author's experience in rapidly iterating and shipping products in a startup setting, where responsiveness and speed are key.
With Learn Python in 3 hours, you will be up-and-running with Python like you are with your other languages, proving your value and expertise to your team today, and building your CV and skillset for tomorrow Indra den Bakker ISBN 13: 9781789531602 Packt Course Length: 1 hour 45 minutes June 2018 Video Overview: Over 20 practical videos on neural network modeling, reinforcement learning, and transfer learning using Python Deep Learning is revolutionizing a wide range of industries.
For many applications, Deep Learning has been proven to outperform humans by making faster and more accurate predictions.
This course provides a top-down and bottom-up approach to demonstrating Deep Learning solutions to real-world problems in different areas.
These applications include Computer Vision, Generative Adversarial Networks, and time series.
This course presents technical solutions to the issues presented, along with a detailed explanation of the solutions.
Furthermore, it provides a discussion on the corresponding pros and cons of implementing the proposed solution using a popular framework such as, and Keras.
The course includes solutions that are related to the basic concepts of neural networks; all techniques, as well as classical network topologies, are covered.
The main purpose of this video course is to provide Python programmers with a detailed list of solutions so they can apply Deep Learning to common and not-so-common scenarios.
Chandra Lingam ISBN 13: 9781789539523 Packt Course Length: 3 hours 10 minutes June 2018 Video Overview: Learn cutting-edge pattern matching skills for log mining, big data parsing, cleanup and preparation with Regex Welcome to Python Regular Expressions Course!
You will apply your new skills with four hands-on real-world projects.
You will gain solid understanding on type of performance issues regex can run into, and techniques to address them.
As part of resources in this course, you will get a high-quality quick reference guide, an interactive tool, all the source code and downloadable slides.
Why Learn Regular Expressions?
Very often, the data that we need is not readily accessible or useful.
Data preparation and clean-up is often one of the most time-consuming activities in a software automation project.
Instead of spending time writing code for all this, you can specify data patterns of interest and let regular expression engine do the work for you.
Regular Expression is cross-platform and you can learn the concepts once and use it in multiple programming languages and environment Looking forward to seeing you in the course!
Valeriy Babushkin ISBN 13: 9781789135817 Packt Course Length: 2 hours 46 minutes June 2018 Video Overview: Transform your simple machine learning model into a cutting edge powerful version Machine learning allows us to interpret data structures and fit that data into models to identify patterns and make predictions.
Python makes this easier with its huge set of libraries that can be easily used for machine learning.
In this course, you will learn from a top Kaggle master to upgrade your Python skills with the latest advancements in Python.
Each technique we cover is itself enough to improve your results.
However; combining them together is where the splitten blackjack regeln magic is.
Throughout the course, you will work on real datasets to increase your expertise and keep adding new tools to your machine learning toolbox.
By the end of this course, you will know various tips, tricks, and techniques to upgrade your machine learning algorithms to reduce common problems, all the while building efficient machine learning models.
Thushan Ganegedara ISBN 13: 9781788478311 Packt 472 Pages May 2018 Book Overview: Write modern natural language processing applications using deep learning algorithms and.
Thushan Ganegedara starts by giving you a grounding in NLP and basics.
You'll then learn how to use Word2vec, including advanced extensions, to create word embeddings that turn sequences of words into vectors accessible to deep learning algorithms.
Chapters on classical deep learning algorithms, like convolutional neural networks CNN and recurrent neural networks RNNdemonstrate important NLP tasks as sentence classification and language generation.
You will learn how to apply high-performance RNN models, like long short-term memory LSTM cells, to NLP tasks.
You will also explore neural machine translation and implement a neural machine translator.
After reading this book, you will gain an understanding of NLP and you'll have the skills to apply in deep learning NLP applications, and how to perform specific NLP tasks.
If you are struggling in your day-to-day data analysis tasks, then this is the right course for you.
This fast-pace guide follows a recipe-based approach, each video focusing on a commonly-faced issue.
This course covers advanced and powerful time series capabilities so you can dissect by any possible dimension of time.
It introduces the Matplotlib library, which is responsible for all of the plotting in pandas, at the same time focusing on the pandas plot method and the Seaborn library, which is capable of producing aesthetically pleasing visualizations not directly available in pandas.
This course guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.
Yuxing Yan, James Yan ISBN 13: 9781788831192 Packt 364 Pages May 2018 Book Overview: Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda Anaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages.
Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world.
The book begins with setting up the environment for Anaconda platform in order to make it accessible for tools and frameworks such as Jupyter, pandas, matplotlib, Python, R, Julia, and more.
Diwakar Vaish ISBN 13: 9781788832922 Packt 340 Pages May 2018 Book Overview: Leverage the power of python to build DIY robotic projects Robotics is a fast-growing industry.
Robots are prevalent throughout all industries, and they are all set to be a part of our domestic lives.
This book starts with the installation and basic steps in configuring a robotic controller.
You'll then move on to setting up your environment to use Python with the robotic controller.
You'll dive deep into building simple robotic projects, such as a pet-feeding robot, and more complicated projects, such as machine learning enabled home automation system Jarvisvision processing based robots and a self-driven robotic vehicle using Python.
Cody Jackson ISBN 13: 9781788294874 Packt 380 Pages MAY 2018 Book Overview: Test your Python programming skills by solving real-world problems This book covers the unexplored secrets of Python, delve into its depths, and uncover its mysteries.
Indrasen Pilankar ISBN 13: 9781788629744 Packt Course Length: 2 hours 26 minutes May 2018 Video Overview: A practical approach to Object-Oriented Programming OOP in Python 3.
The world is filled with coders, who write pieces of programs in a bid to find solutions to various problems.
In such a field where the competition is already intense, you need a definitive edge over the rest.
One of the better ways to stay ahead of the pack is to write smarter code.
Writing large programs can be painful.
OOP saves a considerable amount of coding man-hours in the long run by writing code in a smarter way, through various techniques.
To ensure efficient coding, you will be introduced to Exceptions and Error Handling.
Furthermore, Encapsulation with methods and variables will help you to keep data safe from external, unwanted interference.
In the final sections, you will be taken through recursion mechanisms.
By the end of this course, you will be well-versed with the OOP techniques in Python 3, which will help you to write codes better and in an efficient manner.
Prabhat Ranjan ISBN 13: 9781788471312 Packt Course Length: 1 hour 21 minutes May 2018 Video Overview: Learn how to model and visualize data in Python through Pandas data library This video course will support users as they work through a typical real-world data analysis project step-by-step using Pandas.
It develops the deep knowledge and skills that will enable students to immediately tackle their own projects with Pandas at work.
This product demonstrates how to make financial models using Python's software library for data manipulation and analysis.
Burkhard Meier ISBN 13: 9781788625807 Packt Course Length: 3 hours 20 minutes May 2018 Video Overview: Practical coding projects to get you up and running with Python in no time This video course explores Python basics, data structures, and algorithms.
We'll build a die rolling simulator to see how to use Python dictionaries, loops, functions, and control statements.
Next we will use a modular approach to build a game that consists of a deck of playing cards.
We will use object-oriented OOP Python classes to do so.
We will display the playing cards both in a textual form, which we create, as well as via image files.
This will lead to our displaying card images in a graphical form using Python's built-in Tkinter package.
Curtis Miller ISBN 13: 9781788295499 Packt Course Length: 1 hours 44 minutes May 2018 Video Overview: Turn practical hands-on projects such as language processing, computer vision, sentiment analysis, and text processing into useful application in Python to take your skills to another level!
This course contains in-depth content balanced with tutorials that put theory into practice.
This course will give you both a theoretical understanding and practical exp with examples that will allow you indulge in the art of statistical modeling and analysis using the Python programming language.
Michael Beyeler ISBN 13: 9781789340525 Packt Course Length: 2 hours and 25 minutes May 2018 Video Overview: A practical introduction to the world of machine learning and image processing using OpenCV and Python This course will cover essential concepts such as classifiers and clustering and will also help you get acquainted with neural networks and Deep Learning to address real-world problems.
The course will also guide you through creating custom graphs and visualizations, link show you how to go from raw data to beautiful visualizations.
By the end of this course, you will be ready to create your own ML system and will also be able to take on your own machine learning problems.
Hillar ISBN 13: 9781789138542 Packt 228 Pages May 2018 Book Overview: Explore the features included in the latest versions of MQTT for IoT and M2M communications and use them with modern Python 3.
MQTT is a lightweight messaging protocol for small sensors and mobile devices.
This book explores the features of the latest versions of MQTT for IoT and M2M communications, how to use them with Python 3, and allow you to interact with sensors and actuators using Python.
The book begins with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT broker.
You will use different utilities and diagrams to understand the most important concepts related to MQTT.
You will learn to make all the necessary configuration to work with digital certificates for encrypting all data sent between the MQTT clients and the server.
You will also work with the different Quality of Service levels and later analyze and compare their overheads.
You will write Python 3.
Towards the end, you will write Python code to use the cloud-based real-time MQTT provider to monitor a surfing competition.
In the end, you will have a solution that was built from scratch by analyzing the requirements and then write Python code that will run on water-proof IoT boards connected to multiple sensors in surfboards.
Moore More info 13: 9781788835886 Packt 452 Pages May 2018 Book Overview: Find out how to create visually stunning and feature-rich applications by empowering Python's built-in TKinter GUI toolkit Tkinter is a lightweight, portable, and easy-to-use graphical toolkit available in the Python Standard Library, widely used to build Python GUIs due to its simplicity and availability.
This book teaches you to design and build graphical user interfaces that are functional, appealing, and user-friendly using the powerful combination of Python and Tkinter.
After being introduced to Tkinter, you will be guided step-by-step through the application development process.
Over the course of the book, your application will evolve from a simple data-entry form to a complex data management and visualization tool while maintaining a clean and robust design.
In addition to building the GUI, you'll learn how to connect to external databases and network resources, test your code to avoid errors, and maximize performance using asynchronous programming.
You'll make the most of Tkinter's cross-platform availability by learning interesting vb net blackjack code confirm to maintain compatibility, mimic platform-native look and feel, and build executables for deployment across popular computing platforms.
By the end of this book, you will have the skills and confidence to design and build powerful high-end GUI applications to solve real-world problems.
Mohit ISBN 13: 9781789138962 Packt 230 Pages May 2018 Book Overview: This book gives you the skills you need to use Python for penetration testing, with the help of detailed code examples.
This book has been updated for Python 3.
We start by exploring the basics of networking with Python and then proceed to network hacking.
Then, you will delve into exploring Python libraries to perform various types of pentesting and ethical hacking techniques.
Next, we delve into hacking the application layer, where we start by gathering information from a website.
We then move on to concepts related to website hacking—such as parameter tampering, DDoS, XSS, and SQL injection.
By reading this book, you will learn different techniques and methodologies that will familiarize you with Python pentesting techniques, how to protect yourself, and how to create automated programs to find the admin console, SQL injection, and XSS attacks.
Krishna Bhavsar, Naresh Where interblock multi hand blackjack for, Pratap Dangeti ISBN 13: 9781789348989 Packt Course Length: 1 hour 24 minutes April 2018 Video Overview: Learn the tricks and tips that will help you design Text Analytics solutions Natural Language Processing NLP is a feature of Artificial Intelligence concerned with the interactions between computers and human natural languages.
This course includes unique videos that will teach you various aspects of performing Natural Language Processing with NLTK—the leading Python platform for the task.
In this course, you will learn what is and explore its features and usage.
It will teach how to extract raw text from web sources and introduce some critical pre-processing steps.
You will also get familiarized with the concept of pattern matching as a way to do text analysis.
Anand Saha ISBN 13: 9781788475266 Packt Course Length: 4 hours 42 minutes April 2018 Video Overview: Build useful and effective deep learning models with the Deep Learning framework In this course, you will learn how to accomplish useful tasks using Convolutional Neural Networks to process spatial data such as images and using Recurrent Neural Networks to process sequential data such as texts.
You will explore how you can make use of unlabeled data using Auto Encoders.
You will also be training a neural network to learn how to balance a pole all by itself, using Reinforcement Learning.
Throughout this journey, you will implement various mechanisms of the framework to do these tasks.
By the end of the video course, you will have developed a good understanding of, and feeling for, the algorithms and techniques used.
You'll have a good knowledge of how works and how you can use it in to solve your daily machine learning problems.
Thomas Dehaene ISBN 13: 9781789137361 Packt Course Length: 2 hours 26 minutes April 2018 Video Overview: Get high-quality information from your text using Machine Learning with Tensorflow, NLTK, Scikit-Learn, and Python Text is one of the most actively researched and widely spread types of data in the Data Science field today.
New advances in machine learning and deep learning techniques now make it possible to build fantastic data products on text sources.
New exciting text data sources pop up all the time.
You'll build your own toolbox of know-how, packages, and working code snippets so you can perform your own text mining analyses.
You'll start by understanding the fundamentals of modern text mining and move on to some exciting processes involved in it.
You'll learn how machine learning is used to extract meaningful information from text and the different processes involved in it.
You will learn to read and process text features.
Then you'll learn how to extract information from text and work on pre-trained models, while also delving into text classification, and entity extraction and classification.
You will explore the process of word embedding by working on Skip-grams, CBOW, and with some additional and important text mining processes.
By the end of the course, you will have learned and understood the various aspects of text mining with ML and the important processes involved in it, and will have begun your journey as an effective text miner.
Rudy Lai ISBN 13: 9781788999229 Packt Course Length: 3 hours 17 minutes April 2018 Video Overview: Practical and unique solutions to common Machine Learning problems that you face.
Avoid any roadblocks while working with the Python data science ecosystem.
You are a data scientist.
Every day, you stare at reams of data trying to apply the latest and brightest of models to uncover new insights, but there seems to be an endless supply of obstacles.
Your colleagues depend on you to monetize your firm's data - and the clock is ticking.
What do you do?
Troubleshooting Python Machine Learning is the answer.
We have systematically researched common ML problems documented online around data wrangling, debugging models such as Random Forests and SVMs, and visualizing tricky results.
We leverage statistics from Stack Overflow, Medium, and to get a cross-section of what data scientists struggle with.
We have collated for you the top issues, such as retrieving the most important regression features and explaining your results after clustering, and their corresponding solutions.
We present these case studies in a problem-solution format, making it very easy for you to incorporate this into your knowledge.
Hussam Khrais ISBN 13: 9781788838979 Packt 176 Pages April 2018 Book Overview: Your one-stop guide to using Python, creating your own hacking tools, and making the most out of resources available for this programming language This book is packed with step-by-step instructions and working examples to make you a skilled penetration tester.
It is divided into clear bite-sized chunks, so you can learn at your own pace and focus on the areas of most interest to you.
This book will teach you how to code a reverse shell and build an anonymous shell.
You will also learn how to hack passwords and perform a privilege escalation on Windows with practical examples.
You will set up your own virtual hacking environment inwhich will help you run multiple operating systems for your testing environment.
By the end of this book, you will have learned how to code your own scripts and mastered ethical hacking from scratch.
Krishna Bhavsar, Naresh Kumar, Pratap Dangeti ISBN 13: 9781789343335 Packt Course Length: 1 hour and 17 minutes April 30, 2018 Video Overview: Learn a practical viewpoint to understand and implement NLP solutions involving POS tagging, parsing, and much more This course is designed with advanced solutions that will take you from newbie to pro in performing Natural Language Processing with NLTK.
In this course, you will come across various concepts covering natural language understanding, Natural Language Processing, and syntactic analysis.
It consists of everything you need learn more here efficiently use NLTK to implement text classification, identify parts of speech, tag words, and more.
You will also learn how to analyze sentence structures and master syntactic and semantic analysis.
By the end of this course, you will have all the knowledge you need to implement Natural Language Processing with Python.
Aldrin Yim, Claire Chung, Allen Yu ISBN 13: 9781788625173 Packt 300 Pages April 2018 Book Overview: Leverage the power of Matplotlib to visualize and understand your data more effectively Matplotlib is a popular data visualization package in Python used to design effective plots and graphs.
This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library.
Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib.
You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib.
You'll also explore data preparation techniques and data exploration in depth, and see how the Python standard library fits the functional programming model.
Jalaj Thanaki ISBN 13: 9781788390040 Packt 566 Pages April 2018 Book Overview: Practical, hands-on solutions in Python to overcome any problem in Machine Learning The book includes a wide range of applications: math practice blackjack analytics and NLP, to computer vision domains.
Some of the applications you will be working on include stock price prediction, a recommendation engine, building a chat-bot, a facial expression recognition system, and many more.
The problem examples we cover include identifying the right algorithm for your dataset and use cases, creating and labeling datasets, getting enough clean data to carry out processing, identifying outliers, overftting datasets, hyperparameter tuning, and more.
Here, you'll also learn to make more timely and accurate predictions.
In addition, you'll deal with more advanced use cases, such as building a gaming bot, building an extractive summarization tool for medical documents, and you'll also tackle the problems faced while building an ML model.
By the blackjack boards of this book, you'll be able to fine-tune your models as per your needs to deliver maximum productivity.
Paul Crickard, Eric van Rees, Silas Toms ISBN 13: 9781788293334 Packt 440 Pages April 2018 Book Overview: Explore GIS processing and learn to work with various tools and libraries in Python.
Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools.
This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management.
This book will use examples and think, zynga poker blackjack nasıl oynanır important snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis.
You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers.
You will then learn to use Python code libraries to read and write geospatial data.
You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite.
Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps.
Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API.
James Lee et al ISBN 13: 9781789133394 Packt Course Length: 3 hours and 18 minutes April 2018 Video Overview: Learn Apache Spark and Python by 12+ hands-on examples of analyzing big data with and Spark This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications usingthe Python API for Spark.
At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adopt Apache Spark for building big data processing pipeline and data analytics applications.
This course covers 10+ hands-on big data examples.
You will learn valuable knowledge about how to frame data analysis problems as Spark problems.
Together we will learn examples such as aggregating NASA Apache weblogs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how makerspaces are distributed across different regions in the United Kingdom.
And much much more.
Jalem Raj Rohit ISBN 13: 9781787288676 Packt 272 Pages April 2018 Book Overview: Building efficient Python applications at minimal cost by adopting serverless architectures Serverless architectures allow you to build and run applications and services without having to manage the infrastructure.
https://chakefashion.com/blackjack/blackjack-hit-or-stand-calculator.html companies have adopted this architecture to save cost and improve scalability.
This book will help you design serverless architectures for your applications with AWS and Python.
The book is divided into three modules.
The first module explains the fundamentals of serverless architecture and how AWS lambda functions work.
In the next module, you will learn to build, release, and deploy your application to production.
You will also learn to log and test your application.
In the third module, we will take you through advanced topics such as building a serverless API for your application.
You will also learn to troubleshoot and monitor your app and master AWS lambda programming concepts with API references.
Moving on, you will also learn how to scale up serverless applications and handle distributed serverless systems in production.
Aubrey Love II ISBN 13: 9781788835206 Packt Course Length: 2 hours 45 minutes APRIL 2018 Video Overview: Five languages in five hours.
Get started with programming in HTML5, CSS3, Python, C++, and more!
In this course, you will get to know 5 different languages, compilers, and editors for programming and then you will use HTML5 and CSS3 to build your own company website.
As you have successfully stepped into the world of programming, you will now delve into one of the most commonly used Android systems and build an amazing Android application for your company.
Next you will master Python and start scripting to build your own Hello World Program.
For many people, C++ is just a dream but link will easily master this language and program your Hello World App with C++.
Now since you know 5 top languages, you can create a good résumé, create online visibility, and forge ahead in your career.
You'll understand several aspects of application development and we guarantee that, by the end of the video, you'll have your very own application up-and-running.
For the brave at source, we also have exercises, at the end of each chapter, which will intrigue you and this web page you to add your own personal touch to the code and ultimately your application.
Harish Garg ISBN 13: 9781788830416 Packt Course Length: 1 hour 06 minutes APRIL 2018 Video Overview: Data Visualization with bqplot, NetworkX, and Bokeh in Python You will start by programming stunning interactive Data Visualizations using bqplot, an open source Python library developed by Bloomberg.
Then you will learn how to programmatically create interactive network graphs and visualizations.
You will then programmatically visualize data with the interactive Python visualization library, Bokeh.
Finally, you will build interactive web visualizations of data using Python: you will choose a number of inputs your users can control, then use any Python graphing library to create plots based on those inputs.
Claudio Sparpaglione ISBN 13: 9781788621953 Click to see more Course Length: 14 hours 22 minutes APRIL 2018 Video Overview: Make your day and master the Python: a powerful and versatile language and ecosystem that can help you save time and money.
This video course is about leveraging the Python programming language and its thriving ecosystem to save yourself time and money when doing common routine tasks.
Nobody wants to do boring and time-consuming tasks: days have 24 hours and you should squeeze out the most of this time for yourself - automating the boring tasks gives you back time to focus on what you really like to do.
Moreover, this is also the chance for you to learn a great general-purpose language such as Python, with which you can build very cool applications both at work and in your spare time.
The course is structured as an incremental learning path: you will start with a deep-dive into Python software development basics, then move on to write scripts to automate file system operations and file contents processing on your local host, then you will learn how to interact with web-based services such as websites and APIs in order to robotize the cool things that we do everyday - such as tweeting, posting to social networks, reading RSS feeds, etc.
By the end of this course you will have learned how to proficiently write structured Python code in a wide range of applications — from one-liner scripts to complex web applications — aiming at the automation of lots of common everyday life tasks.
Nick Locascio ISBN 13: 9781788629928 Packt Course Length: 3 hours 58 minutes MARCH 2018 Video Overview: Learn everything you need to know about Machine learning with Tensorflow and Scikit-Learn Machine Learning is one of the most transformative and impactful technologies of our time.
From advertising to healthcare, to self-driving cars, it is hard to find an industry that has not been or is not being revolutionized by machine learning.
Using the two most popular frameworks, Tensor Flow and Scikit-Learn, this course will show you insightful tools and techniques for building intelligent systems.
Using Scikit-learn you will create a Machine Learning project from scratch, and, use the Tensor Flow library to build and train professional neural networks.
We will use these frameworks to build a variety of applications for problems such as ad ranking and sentiment classification.
The course will then take you through the methods for unsupervised learning and what to do when you have limited or no labels for your data.
We use the techniques we have learned, along with some new ones, to build a sentiment classifier, an autocomplete keyboard and a topic discoverer.
Rudy Lai ISBN 13: 9781788392402 Packt Course Length: 4 hours 28 minutes MARCH 2018 Video Overview: A practical tour of prediction and control in Reinforcement Learning using OpenAI Gym, Python, and Reinforcement learning RL is hot!
This branch of machine learning powers and Deepmind's Atari AI.
It allows programmers to create software agents that learn to take optimal actions to maximize reward, through trying out different strategies in a given environment.
This course will take you through all the core concepts in Reinforcement Learning, transforming a theoretical subject into tangible Python coding exercises with the help of OpenAI Gym.
The videos will first guide you through the gym environment, solving the -v0 toy robotics problem, before moving on to coding up and solving a multi-armed bandit problem in Python.
As the course ramps up, it shows you how to use dynamic programming and -based neural networks to solveanother OpenAI Gym challenge.
Lastly, we take the Blackjack challenge and deploy model free algorithms that leverage Monte Carlo methods and Temporal Difference TD, more specifically SARSA techniques.
Alexis Rutherford ISBN 13: 9781789139938 Packt Course Length: 1 hour 56 minutes MARCH 2018 Video Overview: Practical techniques and methods to analyze your text data.
Power your decision making using next generation libraries.
The company you work for has accumulated a lot of valuable data from its customers, all stored as text, and you need to extract some value from that data.
This course empowers you to know how to attack this and other text analysis problems to unlock value for your organization.
Thomas Snell ISBN 13: 9781788995580 Course Length: 2 hours 14 minutes March 2018 Video Overview: Get hands-on with machine learning using Python Given the constantly increasing amounts of data they're faced with, programmers have to come up with better solutions to make machines smarter and reduce manual work.
In this Machine Learning course, you'll use Python to craft better solutions and process them effectively.
By the end of the course, you will be adept at using the concepts and algorithms involved in Machine Learning.
This is a highly practical course and will equip you with sufficient hands-on training to help you implement ML skills right after finishing the course.
Joshua Eckroth ISBN 13: 9781788832403 Packt Course Length: 2 hours 02 minutes March 2018 Video Overview: Enter and explore the fascinating world of intelligent applications with Artificial Intelligence using the Python programming language Considered the Holy Grail of automation, data analysis, and robotics, Artificial Intelligence has taken the world by storm as a major field of research and development.
This video course is built for those with a basic understanding of artificial intelligence, introducing them to advanced artificial intelligence projects as they go ahead.
The first project introduces natural language processing including part-of-speech tagging and named entity extraction.
Wikipedia articles are used to demonstrate the extraction of keywords, and the Enron email archive is mined for mentions and relationships of people, places, and organizations.
Julian Avila ISBN 13: 9781789130157 Packt Course Length: 1 hour and 24 minutes March 2018 Video Overview: AA one-stop solution to learning complex models with Neural Networks and understanding the basics of Natural Language Processing.
With this course you will learn the Decision Tree algorithms and Ensemble Models to build Random Forest, Regression Analysis.
You will focus on Decision Trees and Ensemble Algorithms.
Moving forward, you learn to use scikit-learn to classify text and Multiclass with scikit-learn.
You will explore various algorithms for classification.
You will also look at Naive Bayes model and Label Propagation.
Finally, you'll use Neural Networks using different Classifiers and create your own Simple Estimator.
Saikat Basak ISBN 13: 9781789135091 Packt Course Length: 1 hour and 36 minutes March 2018 Video Overview: A practical approach to deep learning and deep reinforcement learning for building real-world applications using.
This course will show you how to combine the power of Artificial Intelligence and to develop some exciting applications for the real world.
This course will take you through all the relevant AI domains, tools, and algorithms required to build optimal solutions and will show you how to implement them hands-on.
You will then be taken through techniques such as reinforcement learning, heuristic searches, neural networks, Computer Vision, OpenAI Gym, and more in different stages of your application.
This course will show you how to implement AI practically using models and how it eases the way you interact with the technology.
You will learn how can be used to analyze a variety of data sets and will learn to optimize various AI algorithms.
By the end of the course, you will have learned to build intelligent apps by leveraging the full potential of Artificial Intelligence with.
Alexey Spizhevoy, Aleksandr Rybnikov ISBN 13: 9781788474443 Packt 306 Pages March 2018 Book Overview: Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs In this book, you will learn how to process an image by manipulating pixels and analyze an image using histograms.
Then, we'll show you how to apply image filters to enhance image content and exploit the image geometry in order to relay different views of a pictured scene.
Finally, you'll get acquainted with recent approaches in deep learning and neural networks.
Elliot Forbes ISBN 13: 9781789134346 Packt Course Length: 3 hours and 35 minutes March 2018 Video Overview: More than 20 videos to help you master concurrency in Python This course introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs.
We'll cover the fundamental concepts of concurrency needed to be able to write your own concurrent and parallel software systems in Python.
The course will guide you down the path to mastering Python concurrency, giving you all the necessary hardware and theoretical knowledge.
We'll cover concepts such as debugging and exception handling as well as some of the most popular libraries and frameworks that allow you to create event-driven and reactive systems.
By the end of the video course, you'll have learned techniques to write incredibly efficient concurrent systems that follow best practices.
Taylor Smith ISBN 13: 9781788991056 Packt Course Length: 2 hours https://chakefashion.com/blackjack/blackjack-review.html minutes March 2018 Video Overview: Understand and implement the best Machine Learning practices with the help of powerful features of Python and scikit-learn This course will help you discover the magical black box that is Machine Learning by teaching a practical approach to modeling using Python along with the Scikit-Learn library.
We begin our journey by observing the end result of a Machine Learning deployment before moving back blackjack ski resort the fundamentals and into exploratory data analysis.
Moving on, we learn to develop complex pipelines and techniques for building custom transformer objects for feature extraction, manipulation, and other effective data cleansing techniques.
Finally, we discover how to select a model, apply optimal hyper-parameters, and deploy it.
Abhinav Dadhich ISBN 13: 9781788297684 Packt 234 Pages February 2018 Book Overview: A practical guide designed to get you from basics to current state of art in computer vision systems.
In this book, you will find several recently proposed methods in various https://chakefashion.com/blackjack/casino-bonuses-blackjack.html of computer vision.
You will start by setting up the proper Python environment to work on practical applications.
This includes setting up libraries such as OpenCV,and Keras how to calculate blackjack probability Anaconda.
Using these libraries, you'll start to understand the concepts of image transformation and filtering.
You will find a detailed explanation of feature detectors such as FAST and ORB; you'll use them to find similar-looking objects.
With an introduction to convolutional neural nets, you will learn how to build a deep neural net using Keras and how to use it to classify the Fashion-MNIST dataset.
With regard to object detection, you will learn the implementation of a simple face detector as well as the workings of complex deep-learning-based object detectors such as Faster R-CNN and SSD using.
Gavin Hackeling ISBN 13: 9781789134780 Packt Course Length: 3 hours 21 minutes February 2018 Book OR Video Overview: Learn to implement and evaluate machine learning solutions with scikit-learn Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models.
Using powerful algorithms and techniques offered by machine learning, you can automate any analytical model.
This course examines a variety of machine learning models including popular machine learning algorithms such as k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial neural networks.
It also discusses data preprocessing, hyperparameter optimization, and ensemble methods.
You will build systems that classify documents, recognize images, detect ads, and more.
By the end of this course, you will master all required concepts of scikit-learn to build efficient models at work to carry out advanced tasks with the practical approach.
Harish Kumar Garg ISBN 13: 9781788838658 Packt Course Length: 1 hours 17 minutes February 2018 Video Overview: Data visualization with matplotlib, ggplot, and seaborn in Python Data visualization is just a wise investment in your future big-data needs.
You will learn how to deploy maps and networks to display geographic and network data.
To do this, we will focus on the following very popular libraries in Python: matplotlib, ggplot, seaborn, and plotly.
In this course, you will walk through some of the fundamentals of data visualization, sharing many examples of how to handle different types of data and how best to present your insights.
We'll take a look at chart types, such as Matplotlib for visualizing the impact of tornadoes in the US, North Korean nuke tests on global stocks, and analyze forex performances using charts.
You will see how ggplot can be used to analyze trends in BRICS economies and crude oil price trends.
You will see how to level up your data visualization skills using Python's advanced plotting libraries: matplotlib and Seaborn, and how you can present the data from the most unstable regions in the world through data visualization.
Michael Heydt ISBN 13: 9781787285217 Packt 364 Pages February 2018 Book Overview: Untangle your web scraping complexities and access web data with ease using Python scripts Right from extracting data from the websites to writing a sophisticated web crawler, the book's independent recipes python 3.7 blackjack be a godsend on the job.
This book covers Python libraries, requests, and.
You will learn about crawling, web spidering, working with AJAX websites, paginated items, and more.
You will also learn to tackle problems such as 403 errors, working with proxy, scraping images, LXML, and more.
By the end of this book, you will be able to scrape websites more efficiently and to be able to deploy and operate your scraper in the cloud.
Alex Rutherford ISBN 13: 9781788839068 Course Length: 2 hours 41 minutes February 2018 Video Overview: Gain valuable insights from your data by streamlining unstructured data pipelines with Python, Spark, and MongoDB This course is a comprehensive, practical guide to using MongoDB and Spark in Python, learning how to store and make sense of huge data sets, and performing basic machine learning tasks to make predictions.
MongoDB is one of the most powerful non-relational database systems available offering robust scalability and expressive operations that, when combined with Python data analysis libraries and distributed computing, represent a valuable set of tools for the modern data scientist.
NoSQL databases require a new way of thinking about data and scalable queries.
Once Mongo queries have been mastered, it is necessary to understand how we can leverage this API in Python's rich analysis and visualization ecosystem.
This course will cover how to use MongoDB, particularly if you are used to SQL databases, with a focus on scalability to large datasets.
MongoDB uniquely allows for complex operations and aggregations to be run within the query itself and we will cover how to use these operators.
While MongoDB itself is built for easy scalability across many nodes as datasets grow, Python is not.
Therefore, we cover how we can use Spark with MongoDB to handle more complex machine learning techniques for extremely large datasets.
This learning will be applied to several examples of real-world datasets and analyses that can form the basis of your own pipelines, allowing you to quickly get up-and-running with a powerful data science toolkit.
Tomasz Drabas ISBN 13: 9781788396592 Course Length: 2 hours 29 minutes February 2018 Video Overview: Building and deploying data-intensive applications at scale using Python and Apache Spark You'll learn about different techniques for collecting data, and distinguish between and understand techniques for processing data.
Next, we provide an in-depth review of RDDs and contrast them with.
We provide examples of how to read data blackjack di bandung files and from HDFS and how to specify schemas using reflection or programmatically in the case of.
The concept of lazy execution is described and we outline various transformations and actions specific to RDDs and.
Finally, we show you how to use SQL to interact with.
By the end of blackjack odds of dealer bust tutorial, you will have learned how to process data using Spark and mastered data collection techniques by distributed data processing.
Software LLP ISBN 13: 9781788998031 Course Length: 2 hours 20 minutes February 2018 Video Overview: Harness the power of modern code structures with Python to improve performance and flexibility Filled with examples, this course will show you all you need to know to start using concurrency in Python.
You will learn about the principal approaches to concurrency that Python has to offer, including libraries and tools needed to exploit the performance of your processor.
Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel processing.
After taking this course you will have gained an in-depth knowledge of using threads and processes with the help of real-world examples.
Software LLP ISBN 13: 9781788998031 Course Length: 2 hours 20 minutes February 2018 Video Overview: Harness the power of modern code structures with Python to improve performance and flexibility Filled with examples, this course will show you all you need to know to start using concurrency in Python.
You will learn about the principal approaches to concurrency that Python has to offer, including libraries and tools needed to exploit the performance of your processor.
Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel processing.
After taking this course you will have gained an in-depth knowledge of using threads and processes with the help of real-world examples.
Vishnu Subramanian ISBN 13: 9781788624336 Packt 262 Pages February 2018 Book Overview: Build neural network models in text, vision and advanced analytics using This book will get you up and running with one of the most cutting-edge deep learning libraries—.
You'll start off by installingthen quickly move on to learn various fundamental blocks that power modern deep learning.
You will also learn how to use CNN, RNN, LSTM and other networks to solve real-world problems.
This book explains the concepts of various state-of-the-art deep learning architectures, such as, Inception, andwithout diving deep into the math behind them.
You will also learn about GPU computing during the course of the book.
You will see how to train a model with and dive into complex neural networks such as generative networks for producing text and images.
By the end of the book, you'll be able to implement deep learning applications in with ease.
Eric Chou ISBN 13: 9781788479387 Course Length: 2 hours and 3 minutes February 2018 Video More info Accomplish Network Engineering Tasks with Python You will learn to create exciting Python apps to automate daily networking tasks such as configuring devices, collecting information about the network, testing by client simulations, or network discovery.
This course will help you build some mesmerizing network tools with Python, including a Subnet calculator; configuring multiple network devices concurrently via SSH or Telnet; a DHCP client simulator for testing a DHCP server in the local network; network discovery via SNMP; OS fingerprinting; and network attacks via Scapy.
This tutorial uses real-life scenarios and use cases to help you build network automation tools with the amazing Python language.
By the end of this course, you will be able to take your Python programming skills to the next level for network automation.
This course provides hands-on, interesting examples with clear and friendly explanations that students can follow along with, covers common share dealing blackjack something, and provides useful tips and in-the-trenches advice.
There is a limited amount of theory; instead, the examples are full of real-world use cases.
Daniel Furtado, Marcus Pennington ISBN 13: 9781786468161 Packt 456 Pages February 2018 Book Overview: How to build useful, real-world applications in the Python programming language In this book, we will cover some of the most common tasks that Python developers face on a daily basis, including performance optimization and making web applications more secure.
We will familiarize ourselves with the associated software stack and master asynchronous features in Python.
We will build a weather application using command-line parsing.
We will then move on to create a Spotify remote control where we'll use OAuth and the Spotify Web API.
The next project will cover reactive extensions by teaching you how to cast votes on Twitter the Python way.
We will also focus on web development by using the famous Django framework to create an of 21 in blackjack game store.
We will then create a web-based messenger using the new Nameko microservice framework.
We will cover topics like authenticating users and, storing messages in Redis.
By the end of the book, you will have gained hands-on experience in coding with Python.
Riaz Munshi ISBN 13: 9781788394291 Packt Course Length: 3 hours 30 minutes January 2018 Video Overview: Discover how to build advanced OpenCV3 projects with Python This course features some trending applications of vision and deep learning and will help you master these techniques.
You will learn how to retrieve structure from motion sfm and you will also see how we can build an application to capture 2D images and join them dynamically to achieve street views by capturing camera projection angles and relative image positions.
You will also learn how to track your head in 3D in real-time, and perform facial recognition against a goldenset.
You will also build an app to capture facial emotions based on a.
Next, you'll generate panoramas using image stitching and we extend this concept by generating a map based on the trajectory of ISS.
You'll also learn to build an application to capture beautiful panoramas and also achieve AR effects.
You then delve into one of the most trending domains of computer vision: autonomous cars.
You'll learn about various architectures and develop the skills to detect lanes, and segment and track vehicles in traffic.
You will be using Carla, which is a open driving simulator by Intel, for your project to train a car learn how to drive itself using an end-to-end model.
Wei Di, Anurag Bhardwaj, Jianing Wei ISBN 13: 9781785880360 Packt 284 Pages Jan 2018 Book Overview: Get to grips with the essentials of deep learning by leveraging the power of Python This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios.
You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on.
You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing.
Popular Python library such as is used in this book to build the models.
This book also covers solutions for different problems you might come across while training models, such as noisy datasets, small datasets, and more This book does not assume any prior knowledge of deep learning.
From there, you will be introduced to supervised learning, where you will explore the principles of machine learning and train different machine learning models.
Julian Avila ISBN 13: 9781789132793 Packt Course Length: 1 hour 32 minutes Jan 2018 Video Overview: A one-stop solution to quickly program fast Machine Learning algorithms with and scikit-learn This course begins by taking you through videos on evaluating the statistical properties of data and generating synthetic data for machine learning modeling.
As you progress through the sections, you will come across videos that will teach you to implement techniques such as data pre-processing, linear regression, logistic regression, and K-NN.
You will also look at Pre-Model and Pre-Processing workflows, to help you choose the right models.
Finally, you'll explore dimensionality reduction with various parameters.
Cyrille Rossant ISBN 13: 9781785888632 Packt 548 Pages Jan 2018 Book Overview: Learn to use IPython and Jupyter Notebook for your data analysis and visualization work.
You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning.
The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high-performance computing through just-in-time compilation, parallel computing, and graphics card programming.
The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics.
Ankit Dixit ISBN 13: 9781788297752 Packt 438 Pages December 2017 Book Overview: An effective guide to using ensemble techniques to enhance machine learning models This book covers different machine learning algorithms that are widely used in the practical world to make predictions and classifications.
It addresses different aspects of a prediction framework, such as data pre-processing, model training, validation of the model, and more.
You will gain knowledge of different machine learning aspects such as bagging decision trees and random forestsBoosting Ada-boost and stacking a combination of bagging and boosting algorithms.
Loonycorn ISBN 13: 9781788997522 Packt Course Length: 1 hour 43 minutes December 2017 Video Overview: Factor extraction using PCA in Excel, R and Python Factor analysis helps to cut through the clutter when you have a lot of correlated variables to explain a single effect.
See https://chakefashion.com/blackjack/vegas-cheapest-blackjack-tables.html Principal Components Analysis is a cookie cutter technique to solve factor extraction and how it relates to Machine learning.
Loonycorn ISBN 13: 9781788991957 Packt Course Length: 4 hours 45 minutes December 2017 Video Overview: Build robust models in Excel, R and Python This course will teach you how to build robust linear models and do logistic regression in Excel, R and Python.
Robust linear models: Linear Regression is a powerful method for quantifying the cause and effect relationships that affect different phenomena in the world around us.
This course will teach you how to build robust linear models that will stand up to scrutiny when you apply them to real world situations.
Logistic regression: Logistic regression has many cool applications: analyzing consequences of past events, allocating resources, solving binary flash blackjack problems using machine learning and so on.
This course will help you understand the intuition behind logistic regression and how to solve it using cookie-cutter techniques.
Excel, R and Python: Put what you've learnt into practice.
Leverage these powerful analytical tools to build models for stock returns.
Pratap Dangeti ISBN 13: 9781788994989 Packt Course Length: 2 hours 10 minutes December 2017 Video Overview: Building various machine learning models using Python and R This video will teach you all it takes to perform the complex statistical computations required for Machine Learning.
You will gain information on statistics behind unsupervised learning, reinforcement learning, and more.
You'll master real-world examples that discuss the statistical side of Machine Learning.
In this video, you will acquire a deep knowledge of the various models of unsupervised and reinforcement learning, and explore the fundamentals of deep learning with the help of the Keras software.
Furthermore, you'll gain an overview of reinforcement learning with the Python programming language.
Tyler Edwards ISBN 13: 9781787286085 Packt Course Length: 1 hour 47 minutes December 2017 Video Overview: Learn and master the NLTK library in Python to create your own NLP apps You will start off by preparing text for Natural Language Processing by cleaning and simplifying it.
Then you will implement more complex algorithms to break this text down and uncover contextual relationships that reveal the meaning and content of the text.
You will learn how to tokenize various parts of sentences, and how to analyze them.
You will learn about semantic as well as the syntactic analysis of text.
During this course, you will learn how to solve various ambiguities in processing human language.
You will also gain experience with NLP using Python and will be introduced to a variety of useful tools in NLTK.
Plus, you will have an opportunity to build your first NLP application.
By the end of this course, you will have the skills and tools to begin solving problems in the growing field of Latent Semantic Analysis.
Ashish Kumar, Joseph Babcock ISBN 13: 9781788992367 Packt 660 Pages December 2017 Book Overview: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications This book is your guide to getting started with predictive analytics using Python.
You'll balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and.
Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications.
Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates explains how these methods work.
You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring to life the insights of predictive modeling.
PKS Prakash ISBN 13: 9781788995719 Packt Course Length: 2 hours 25 minutes December 2017 Video Overview: Step-by-step guide filled with real-world practical examples The video starts with a descriptive analysis to create insightful visualizations of internal structures such as trend, seasonality, and autocorrelation.
Next, the statistical methods of dealing with autocorrelation and non-stationary time series are described.
This is followed by exponential smoothing to produce meaningful insights from noisy time series data.
At this point, we shift the focus towards predictive analysis and introduce autoregressive models such as ARMA and ARIMA for time series forecasting.
Later, powerful deep learning methods are presented to develop accurate forecasting models for complex time series.
All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python.
Felipe Martins, Ruben Oliva Ramos, V Kishore Ayyadevara ISBN 13: 9781788291460 Packt 386 Pages December 2017 Book Overview: Tackle the most sophisticated problems associated with scientific computing and data manipulation using This book includes hands-on recipes for using the different components of the Stack such as, matplotlib, and pandas, among others.
You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more.
The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in Stack works, but also of its application to real-world problems.
The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of without reading through the other recipes, thus making the book a very handy and useful guide.
Harish Garg ISBN 13: 9781788397599 Packt Course Length: 1 hours 45 minutes July 2017 Video Overview: Explore popular datasets in R, while mastering advanced techniques used for them In this course, you will learn how to start using pandas from end-to-end: from getting your data into pandas; using pandas to manipulate, transform, analyze, and visualize data; to ultimately taking your transformed data out of pandas into any number of formats.
Raúl Garreta, Guillermo Moncecchi, Trent Hauck, Gavin Hackeling ISBN 13: 9781788833479 Packt 530 Pages November 2017 Book Overview: Implement scikit-learn into every step of the data science pipeline The course combines an introduction to some of the main concepts and methods in machine learning with practical, hands-on examples of real-world problems.
The course starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be average hand in blackjack into indicator variables.
After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers.
Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.
Krishna Bhavsar, Naresh Kumar, Pratap Dangeti ISBN 13: 9781787289321 Packt 294 Pages November 2017 Book Overview: Learn the tricks and tips that will help you design Text Analytics solutions This book includes unique recipes that will teach you various aspects of performing Natural Language Processing with NLTK—the leading Python platform for the task.
You will come across various recipes during the course, covering among other topics natural language understanding, Natural Language Processing, and syntactic analysis.
You will learn how to understand language, plan sentences, and work around various ambiguities.
You will learn how to efficiently use NLTK and implement text classification, identify parts of speech, tag words, and more.
You will also learn how to analyze sentence structures and master lexical analysis, syntactic and semantic analysis, pragmatic analysis, and the application of deep learning techniques.
By the end of this book, you will have all the knowledge you need to implement Natural Language Processing with Python.
Alvaro Fuentes ISBN 13: 9781788295321 Packt Course Length: 3 hours 44 minutes November 2017 Video Overview: Improve the performance predictive models, build more complex models and use techniques to improve quality of your predictive models.
Ensemble methods offer a powerful way to improve prediction accuracy by combining in a clever way predictions from many individual predictors.
In this course, you will learn how to use ensemble methods to improve accuracy in classification and regression problems.

G66YY644
Bonus:
Free Spins
Players:
All
WR:
50 xB
Max cash out:
$ 1000

I am learning Python at the moment and I am liking it, so after finishing. the Dungeon Game I wanted to test my skills with a BlackJack game.


Enjoy!
Android Tutorial on Blackjack | Edureka
Valid for casinos
(PDF) Introduction to Computing Using Python - An Application Development Focus by Lju | Sherinx Li - chakefashion.com
Visits
Dislikes
Comments

A67444455
Bonus:
Free Spins
Players:
All
WR:
30 xB
Max cash out:
$ 1000

Your code looks nice, well documented and is split into small functions. Also, you've used the if __name__ == "__main__" which is a nice touch ...


Enjoy!
AdvancedBooks - Python Wiki
Valid for casinos
Building Skills in Object-Oriented Design, V4 — Building Skills in Object-Oriented Design 4.1910 documentation
Visits
Dislikes
Comments

G66YY644
Bonus:
Free Spins
Players:
All
WR:
30 xB
Max cash out:
$ 500

Check out the best python courses that BitDegree platform offers.. 2.10 Learning Python: Rapid Training 2019 | The Ultimate Guide to Python 3.7.2.. the tutors will explain how to create a functioning Blackjack game that will ...


Enjoy!
omz on Twitter: "So here's the first beta of Pythonista 3.3. 🎉 The main new features are a scriptable custom keyboard extension and support for Siri shortcuts. More details here: chakefashion.com – TestFlight: chakefashion.com… chakefashion.com"
Valid for casinos
Peter Griffin - The Theory of Blackjack | Card Counting | Gaming
Visits
Dislikes
Comments
Computers hold tremendous significance in the modern world of today.
Programming languages are very valuable because they define the relationship between the person who is programming and the machine.
PC programmers have a full understanding of how and why computer systems work.
What is also important, is that they know what to expect from the system and are its limitations.
There are many programming languages out there but some are more beginner-friendly than others.
Python was designed to easily understood by the newcomers of computer programming.
In this tutorial, we will review some of the best Python courses on the BitDegree online platform, what kind of information you can receive, the levels, length, article source prices.
Python is a general-purpose programming language that is mostly used in a wide range of application compiling.
In fact, it powers some of the most complex applications and websites in the world.
It is a universal language between platforms.
While it is a very high-level programming language, it is relatively easy to learn.
Python translates a lot of complex procedures for its user, that is why it is considered to be a beginner-friendly language that allows the user to focus on learning without having to figure out other smaller problems that can be stressful.
Furthermore, Python does not have a specific rule set on how to build features.
It is a flexible language that enables creativity in solving problems in different methods and does not require to compiled in advance in order to run, which makes easier to test small compilations.
If you ever stumble upon a problem while learning from the best Python courses, just hop into the enormous community of its users, which will help you solve the programming riddles in no-time.
What are the top online Python courses on BitDegree?
BitDegree is an online education platform that helps to sky-rocket your knowledge base on most of the computer science-related subjects.
Learn Python from scratch in one Python online course for beginners Duration: 1h 47 minutes Skill Level: Intermediate Among one of the best Python courses, the tutorial by instructor Nitin Tyagi is a step by step tutorial on Python read more that explains the vast possibilities of the language.
The whole course is broken down into four sections that cover every aspect python 3.7 blackjack learning Python from scratch.
The second part will teach you how to start writing a basic script on free 3d blackjack games with perfect pairs programming language.
It will help to write the first code, explain how to take user input, standard data types, and what are variables on Python.
The third section is all about Condition Handling in Python.
Conditions are very important since they help to write useful programs and it is always crucial to check the conditions and change the behavior of the program accordingly.
It breaks down an hour of information into 11 lectures that will easily build your knowledge on Python.
All in all, the course offers 25 lectures and a certificate after finishing it.
You will learn the advanced level of Python scripting and how to use it in various ways.
Be sure to have a basic understanding of how Windows Machine works before starting it.
Learn Python Basics: Up To Date Python Course For Beginners Duration: 5h 11min Skill Level: Beginner Another contender on the best python courses is the course on Python basics and it is brought by LearnToProgram organization which is a leading educator on mobile, web, and game development.
The group of authors believes that one of the best ways to learn is through practice.
The course offers plenty of practical examples to learn from.
Each of Python Basics course section begins by python 3.7 blackjack explanation of what will be taught in it.
The course starts at firstly explaining the Output mechanism, the print function, Separators, and Newlines.
Carrying on, the course offers an in-depth view of variables, operators, code branching, loops, and math functions.
The course is set to beginner level, offers 63 lessons, and has an available certificate after finishing up.
Learn Python Basics requires only basic IT literacy.
Full-Circle Python Web Development Course Duration: 6h 9min Skill Level: Beginner Technology is what drives Stone River eLearning instructors, this is why the authors brought us one of the best Python courses out there.
In this course, instructors cover the most important aspects of web programming.
It gives a good understanding of the tools that are crucial to building web-based programs.
To make sure that no student falls behind, the instructors make everything very clear and start off very slowly so that the student would have a very strong foundation.
The course goes through data analysis and explains how to manage databases in detail.
Full-Circle Python Web Development course goes through many details about the structure of the internet, explores the role of web servers, HTML and XML languages.
The instructors give many practical examples.
The course is separated into 8 sections that consist of a total of 57 lessons through-out all programs.
Stone River eLearning instructors have highly experienced since they already over a million students and taught more than 200 different courses.
Python web development course only requires a computer that is powered by Windows, Linux, or iOS.
Python Tutorial for Beginners to Build a Solid Foundation of Programming Concepts Duration: 3h 10min Skill Level: Beginner Another profound opponent among the best Python courses is brought by Stone River eLearning instructors is about Python basics that introduce the non-coders to the world of programming.
The course provides deeply useful information on the programming language that produces a simple, versatile, and readable code.
Later on, when some basic foundations python 3.7 blackjack laid down, the instructors give a profound look on functions, how to understand common errors, and how to work with files and classes.
The course consists of 7 sections that are broken down into 26 lessons.
In more than 3 hours, the instructors equip the student with the most important basic knowledge that is used in programming.
The tutorial has close to none requirements since it needs only a computer with william hill blackjack online operating system and the internet.
The Python for Beginners course begins with an introduction on what Python actually is.
The general information is crucial to understanding the learning material that will be presented later on.
After the projects for beginners, the course brings up more advanced tasks that will explain how to start writing Python programs.
Same as most of the other Python courses, Start Coding tutorial offers information on python 3.7 blackjack, strings, conditionals and functions, integers, floats.
The instructor gives a python 3.7 blackjack explanation of how to start working with files, how to create a real-world example, creating a KML file, and interacting with the user.
The course up to 2 hours on-demand videos that will not disappoint you.
Python Image Recognition: Hands-On Artificial Intelligence Course Duration: 5h 22min Skill Level: Beginner John Bura, the author ofis a well-known instructor that already has more than 20 years of programming and 15 years of teaching experience.
He brings us Hands-On Artificial Intelligence tutorial, a solid rival on the go here Python courses, which is all about python 3.7 blackjack basics of Python programming language and how to use TensorFlow.
TensorFlow is a free open-source software library for dataflow and differentiable programming with various range of tasks.
It is used for machine learning, and it is used at production and research at Google.
The tutorial will help to have a better understanding of how TensorFlow linear regression works and how to apply the principles of it on Python image recognition.
The whole course, differently than others, is segmented into only 3 sections that consist of 25 lessons.
The first section is all about image recognition.
It explains everything from the very beginning, starting on how to download the software, how to use Pycharm and other features that will be useful.
The second part is based on TensorFlow and its features.
The course introduces the user to constant and operation nodes, placeholder nodes, variable nodes, and gives a thorough view of linear regression models.
The last part comes down to image recognition and how to work with the CIFAR-10 dataset.
In conclusion, the course can seem intimidating at first but rest assured, it will lead you through every aspect to give the best learning experience.
Python at Super Human Speed: Introduction to Python by Sagar Bansal Duration: 1h 52min Skill Level: Beginner On the list of the best Python courses, we have a that was created by Sagar Bansal who the best selling Infosec author.
According to MyTutorialRack, Sagar Bansai is called a top IT ninja.
He considered a valuable addition to the world of computer science.
The course requires absolutely nothing to know beforehand and has no requirements for blackjack live twitch dealer software.
The author shares his widely known experience with the students and gives many real-life-based examples on how and where to use Python.
The course goes straight to the point and in a couple of hours tries to python 3.7 blackjack the most important features and basic usages of Python.
Introduction to Python consists of 5 sections that break down into 11 lessons on how to set up the environment, understanding basics, how to create a program with a loop, and more.
Basics of Python: Learn to Code Today!
Duration: 11h 37min Skill Level: Beginner was initiated to give a comprehensive and a contender to the best Python courses, which is one of the most in-demand programming languages.
The authors believe, that this language is modern, relevant and profitable, so it is crucial to start learning it today.
The tutorial is one of the longest in our list because it consists of almost 12 hours of learning material and has 32 lessons overall.
After finishing this tutorial the user will learn how to handle inputs, outputs, and errors.
More importantly, the instructors will give a good explanation on how to use lists, loops, sets, and dictionaries in Python.
At the end of this course, the tutors will explain how to create a functioning Blackjack game that will make the user see game creation from a different perspective.
Python course to become a highly in-demand programmer Duration: 2h 28min Skill Level: Beginner Jason Cannon, the icandy peach blackjack travel system ofcreated a specific online Python programming tutorial that will help to learn the language a lot quicker compared to university programs.
His goal was to create one of the best Python courses for people to become wanted programmers in the labor market.
Jason Cannon is an author, consultant, and learn more here system administrator.
His skills have been acknowledged in companies like Amazon, Xero, UPS, and Hewlett-Packard.
Throughout this course, the author shares his experience on how to learn various types of Python information, how to choose the right Python software, how to install and prepare your computer.
Jason shares how to perform mathematical operations, how to study different text editors and development environments, what are modules, and many more.
Learning Python: Rapid Training 2019 The Ultimate Guide to Python 3.
The organization is known for providing software training and services.
Their main objective is to provide high-quality skills and solutions in Software Technologies and how to help students become a professional developer in no-time.
The course provides 18 lessons in which students will learn about the use of Python, which can be web development, data analysis, machine learning, game development, artificial intelligence, and many more.
The reason why this online tutorial could be one of the best Python courses out there is that FLOOSTEC gives a thorough explanation of how Python works, how to write correct and clean codes.
Lists, functions, sets, tuples, numeric types, operations, and all other kinds of Python functions are also know blackjack uk bands curious in the course.
The course also offers the possibility to tips in blackjack how to create a Hello App and find out how it works.
It is a universal language that can be used widely in the computer science world and the demand of professional developers that speak this language is enormous.
Share your ideas about the programming language and tell us what are the best Python courses for you!
Justinas Communication and marketing specialist in progress.
A computer once beat me at chess, but it was no match for me at kick boxing.
What does that mean specifically?
Well, BitDegree wants to create….

T7766547
Bonus:
Free Spins
Players:
All
WR:
30 xB
Max cash out:
$ 1000

... techniques for building effective concurrent applications in Python 3.7..... Lastly, we take the Blackjack challenge and deploy model free ...


Enjoy!
chakefashion.comor: <urlopen error unknown url type: https> – IDEs Support (IntelliJ Platform) | JetBrains
Valid for casinos
What's wrong with this blackjack strategy? - Quora
Visits
Dislikes
Comments
Analyze poker hands with Python and easily implement statistical concepts such as combinations, permutations, in dependent events and expected value.
In the of this tutorial, you learned about several concepts including Independent and Dependent events, Permutations and Combinations, Multiple events, Expected Values, and how to calculate each of them.
Now you will apply those concepts to actual poker hands that I played during my career.
Each player tries to make the best five-card hand possible by combining their two cards with the five community cards dealt throughout the hand.
The player to the left of the dealer button starts the action and play moves clockwise around the table.
The betting is typically started when the player to the left of the dealer button posts a small blind, and the next player to the left posts a big blind.
Betting action takes place on multiple streets: preflop, flop, turn, and the river.
In a home game, the person who has the Button deals the hand python 3.7 blackjack the first card to the player on their left.
At a casino, the Button identifies who is supposed to be the dealer, but the actual dealer is provided by the casino.
Each player is dealt two cards, and the blinds start the betting action.
No community cards have been dealt yet.
In this round, three community cards are dealt face up in the middle of the table, followed by a round of betting.
The first player to put money in the pot each round is making a Bet.
If another player increases the size of the bet that round, they are making a Raise.
This player is no longer involved in the hand and losses any money they have put in the pot.
Poker Probability Tools Anytime I ran into a situation while playing that confused me, I would mark the hand for review later.
After my poker playing session was done, I'd go back through the hands that I'd marked for review.
I'd break them down mathematically so I'd have a better idea of what to do in similar situations in the future.
The hands used in this tutorial were downloaded and stored in a PostgreSQL database bysoftware mentioned in Part I.
The data updates and displays in real time as you play.
I picked out three hands from my poker career.
You'll use statistics on my opponents that I had available at the time, deductive reasoning, and a tool called anto make assumptions about the probability of winning the hand for each viable option.
Note: an equity calculator is used to determine the probability of winning a hand based on a situation that you indicate.
You enter your cards, the community cards las casino nuevas maquinas de gratis anyand the range of hands you assume your opponent is holding.
The calculator provides a probability of winning the hand if the remaining cards are dealt.
Expected Value: A Closer Look Before getting into the analysis for the first hand, you need a better understanding of Expected Value.
However, many times you https://chakefashion.com/blackjack/d-alembert-blackjack.html not have such a straightforward calculation and you will have more than two possible outcomes.
To determine expected value, you must find the weighted read article of each possible outcome, where each possible outcome is weighted by its respective probability of occuring.
Pocket python 3.7 blackjack versus Pre Flop Raise Note: When reviewing poker hands, it is common to refer to your opponent as Villain and the player being reviewed is referred to as Hero.
In poker terminology, this is called a 3bet.
The small blind and big blind make the first bet, and Hero raised them which was the second bet.
Calling is not a good option for reasons that are beyond the scope of this blog post to fully explain.
Note: that, generally speaking, playing poker passively is not profitable and playing poker aggressively is profitable.
Calling is passive and betting or raising is aggressive.
There are other factors related to poker strategy such as player position that indicate calling is a bad option, but would require significant explanation.
Hero must decide between raising with the plan of going All-In and betting all remaining chips or folding.
Folding costs nothing so you will analyze the expected value of going all in.
Below are screenshots of python 3.7 blackjack of the statistics that I had on this opponent at the time this python 3.7 blackjack was played.
The numbers represent a specific situation, such as betting preflop from the Button.
Most of the time there are two numbers listed.
The number on the left indicates the percentage of trials Villain made a specific move in a specific situation.
The number in parenthesis on the right indicates the number of trials up to 99 trials.
If there is no number in parenthesis, the number of trials is python 3.7 blackjack or more.
Overall, from this position, Villain 3bets 7.
Note: How did I decide these 4 points were important?
Hero was in the Cut-Off position and Villain 3bet from the Button.
I want statistics that show what Villain has done in previous hands in similar situations.
How often does Villain 3Bet from the Button position or versus a player python 3.7 blackjack the Cut-Off position?
How often does Villain fold a 3Bet to a raise?
The stats I selected above were the ones that best answered those questions.
Now you can create variables for EstFoldPercent and Equity, and then create your AllinExpectedValue function.
This is a similar situation as the last hand.
Again, calling is not a good option.
Folding costs nothing, so you need to determine if raising All-in has a positive expected value.
https://chakefashion.com/blackjack/blackjack-knives-classic-model-125.html this position, Villain 3bets 7.
Hero only 1% 98 trials.
Out of position means Villain will be first to act in the later betting rounds, and Hero will be second to act.
Another huge red flag.
Now python 3.7 blackjack can create variables for EstFoldPercent and Equity.
This was a lucky result from a decision that would lose money in the long run.
The optimal play here is to fold.
Flop Check Raise Semi Bluff Hand 3 Overview This hand is on the flop and Hero GamingFoSho is odds multiple hands to act and checks.
Once again, calling is not a good option, and folding costs nothing.
Hero must decide if raising in this situation, known as a Semi-Bluff, has a positive expected value.
A Semi-Bluff is when you raise with a drawing hand, in this case a flush draw.
Hero does not have a made hand, as he is currently only holding an Ace high, but has four Hearts and only needs one more for a flush which is a strong hand.
Much like the first hand, the best line of play when raising is to raise small and give Villain the opportunity to bluff.
This is called a continuation bet Cbet.
The equity calculator indicates that Hero wins in this situation 43.
Now you can create your variables for EstFoldPercent and Equity.
In this tutorial, you gained a much deeper understanding of Expected Value and used the concept to make optimal decisions at the poker table.
The concept is an extremely useful one to keep in mind when making any business or financial decision, so python 3.7 blackjack time you face such a decision, try to quantify your options in terms of Expected Value.

B6655644
Bonus:
Free Spins
Players:
All
WR:
30 xB
Max cash out:
$ 1000

Disclaimer: The below content is from the Udemy course thanks to Jose Portilla. Jose's courses have been a great start to learn python.


Enjoy!
Panel Komunikacyjny
Valid for casinos
Hands-On Reinforcement Learning With Python - AI Gradients
Visits
Dislikes
Comments
Sebastian Raschka, Vahid Mirjalili Packt 770 Pages 12 Dec 2019 Book Overview: Applied machine learning with a solid foundation in theory.
Revised and expanded for 2, GANs, and reinforcement learning.
Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python.
It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.
Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth.
While some books teach you only to follow instructions, with this machine learning book, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself.
It's also expanded to cover cutting-edge reinforcement learning techniques based on deep learning, as well as an introduction to GANs.
Finally, this book also explores a subfield of natural language processing NLP called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents.
This book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.
Ashish Kumar ISBN 13: 9781789343236 Packt Course Length: 20 hours 13 minutes 25 Oct 2019 Video Overview: Perform advanced data manipulation tasks using pandas and become an expert data analyst.
This book presents useful data manipulation techniques in pandas to perform complex data analysis in various domains.
With this book, you will learn how to perform efficient data analysis using pandas on complex data, and become an expert data analyst or data scientist in the process.
Python is a flexible language that can be used for much more than just script development.
By knowing the Python RESTful APIs work, you can build a powerful backend for web applications and mobile applications using Python.
You'll take your first steps by building a excellent us 888 casino blackjack agree API and learning how the frontend web interface can communicate with the backend.
You'll also learn how to serialize and deserialize objects using the marshmallow library.
Then, you'll learn how to authenticate and authorize users using Flask-JWT.
You'll also learn how to enhance your APIs by adding useful features, such as email, image upload, searching, and pagination.
You'll wrap up the whole book by deploying your APIs to the cloud.
By the end of this book, you'll have buster blackjack confidence and skill to leverage the power of RESTful APIs and Python to build efficient web applications.
This course was designed for developers keen to get ahead of the curve in the latest web technologies, and focuses on how to use GraphQL from front to back, the most current techniques and tools in React including React Hooks, Apollo Boost, and Material UIand how to combine it all with Python, Django, and Graphene for an amazing stack.
You'll be building a full-stack app from scratch with a GraphQL API made with Python Django and Graphene ; a React client app with React Hooks and Apollo Boost; state management React Context with useContext and Apollo Client State, media file uploads with Cloudinary; and tons more.
So, by the end of the course, you'll have the programming skills to write any program even if it has nothing to do with hacking, but you'll learn to program by programming hacking tools!
All the code files are placed at Andrea Lonza ISBN 13:9781789131116 Packt 366 Pages 18 Oct 2019 Book Overview: Develop self-learning algorithms and agents using and other Python tools, frameworks, and libraries Reinforcement Learning RL is a popular and promising branch of AI that involves making smarter models and agents that can automatically determine ideal behaviour based on changing requirements.
This book will help you master RL algorithms and understand their implementation as you build self-learning agents.
By the end of the book, you'll have worked with key RL algorithms to overcome challenges in real-world applications and be part of the RL research community.
This course touches on every important concept of the latest version of Python, Python 3.
Throughout the course, we will explore the most essential Python features: After completing this course, you will be ready to work as an intern, fresher, or freelancer, and you will also be able to implement everything yourself!
Most importantly, you will be ready to use the huge scope offered by Python programming.
All the codes and supporting files for this course are available at - Giancarlo Zaccone ISBN 13: 9781789533736 Packt 370 pages Pages: 11 hours 6 minutes 6 Sep 2019 Book Overview: Implement effective programming techniques in Python to build scalable software that saves time and memory Nowadays, it has become extremely important for programmers to understand the link between the software and the parallel nature of their hardware so that their programs run efficiently on computer architectures.
Applications based on parallel programming are fast, robust, and easily scalable.
This updated edition features cutting-edge techniques for building effective concurrent applications in Python 3.
The book introduces parallel programming architectures and covers the fundamental recipes for thread-based and process-based parallelism.
You'll learn about mutex, semaphores, locks, queues exploiting the threading, and multiprocessing modules, all of which are basic tools to build parallel applications.
Recipes on MPI programming will help you to synchronize processes using the fundamental message passing techniques with mpi4py.
Furthermore, you'll get sorry, make money fast blackjack theme grips with asynchronous programming and how to use the power of the GPU with PyCUDA and PyOpenCL frameworks.
Finally, you'll explore how to design distributed computing systems with Celery and architect Python apps on the cloud usingDocker, and serverless applications.
With this book, you will be confident in building concurrent and high-performing applications in Python.
Burkhard Meier ISBN 13: 9781838827540 Packt 486 Pages 11 Oct 2019 Book Overview: Over 90 recipes to help you develop widgets, forms, layouts, charts, and much more using the latest features of Python 3 Python is a multi-domain, interpreted programming language that is easy to learn and implement.
With its wide support for frameworks to develop GUIs, you can build interactive and beautiful GUI-based applications easily using Python.
This third edition of Python GUI Programming Cookbook follows a task-based approach to help you create effective GUIs with the smallest amount of code.
Every recipe in this book builds upon the last to create an entire, real-life GUI application.
These recipes also help you solve problems that click might encounter while developing GUIs.
You'll learn how to create GUIs in Python using simple programming styles and object-oriented programming OOP.
As you add more widgets and expand your GUI, you will learn how to connect to networks, databases, and graphical libraries that greatly enhance the functionality of your GUI.
As you expand your GUI by adding more widgets, you'll work with networks, databases, and graphical libraries that enhance its functionality.
You'll also learn how to connect to external databases and network resources, test your code, and maximize performance using asynchronous programming.
In later chapters, you'll understand how to use the cross-platform features of Tkinter and Qt5 to maintain compatibility across platforms.
With this book you'll have the skills and confidence to design and build high-end GUI applications that can solve real-world problems.
Peter Fisher ISBN 13: 9781788831079 Course Length: 2 hours 8 minutes 3 Jul 2019 Video Overview: Discover simple practices for writing clean and efficient Python code Even bad code can function.
But if code isn't clean, it can bring a development organization to its knees.
Every year, countless hours and significant resources are lost because of poorly written code.
But it doesn't have to be that way.
With this book you'll have the skills and confidence to design and build high-end GUI applications that can solve real-world problems.
Volodymyr Kirichinets ISBN 13: 9781789612790 Packt 770 Pages 29 May 2019 Book Overview: Boost UI development with ready-made widgets, controls, charts, and data visualization and create stunning 2D and 3D graphics with and.
Qt is one of the most widely used and flexible frameworks for GUI application development, allowing you to write your application once and then deploy it to multiple operating systems.
This book combines the best of Python and Qt to help you develop GUI applications with Python bindings, such as andthat will supercharge your Python applications.
With this book, you will be able to create modern, responsive, cross-platform desktop applications with the power of Qt, Python, and QML.
Abilash Nelson ISBN 13: 9781838986476 Packt Course Length: 11 hours 7 minutes 28 May 2019 Video Overview: Deep learning and data science using a Python and Keras library - The complete guide from a beginner to professional The world has been obsessed with the terms "machine learning" and "deep learning" recently.
We use these technologies every day, with or without our knowledge.
Ranging from Google suggestions to translations, ads, movie recommendations, friend suggestions, sales and customer experiences.
Overall, this is a basic to an advanced crash course in deep learning neural networks and convolutional neural networks using Keras and Python.
John Elder ISBN 13: 9781838984670 Packt Course Https://chakefashion.com/blackjack/blackjack-dealer-caught-cheating.html 2 hours 2 minutes 28 May 2019 Video Overview: Learn the Database with Python the fast and easy way!
These days, everything uses a database, and MySQL is one of the most popular databases out there.
FREE and Open Source, Mysql is a great database for just about all of your needs.
Likewise, Python is one of the most popular and powerful programming languages today.
Pairing the two together is a powerful combination!
With this course, you'll learn the basics of using MySQL with Python.
You'll learn how to create databases and tables, add data, sort data, create reports, pull specific data, and more.
Volodymyr Kirichinets ISBN 13: 9781789612790 Packt 770 Pages 29 May 2019 Book: Boost UI development with ready-made widgets, controls, charts, and data visualization and create stunning 2D and 3D graphics with and.
The book begins with an overview of Qt and QML.
Then, you will learn how to use QWidget, frames, labels, and text fields, and work with graphics.
This will be followed by taking you through how elements in the application communicate with each other by understanding signals, slots, and event handlers.
This book will help you to gain a better understanding of the Qt framework and the tools to resolve issues when testing, linking, debugging, and multithreading your Python GUI applications.
Finally, the book will help you get to grips with embedded and mobile development using and.
With this book, you will be able to create modern, responsive, cross-platform desktop applications with the power of Qt, Python, and QML.
Avimanyu Bandyopadhyay ISBN 13: 9781789341072 Packt 452 Pages 13 May 2019 Book: Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate This book will be your guide to getting started with GPU computing.
It will start with introducing GPU computing and explain the architecture and programming models for GPUs.
Going further, you will get to grips with GPU work flows, management, and deployment using modern containerization solutions.
Toward the end of the book, you will get familiar with the principles of distributed computing for training machine learning models and enhancing efficiency and performance.
With this book, you will be able to set up a GPU ecosystem for running complex applications and data models that demand great processing capabilities, and be able to efficiently manage memory to compute your application effectively and quickly.
Moore ISBN : 9781789612905 Packt Pages : 542 pages 23 May 2019 Book Overview: An advanced guide to creating powerful high-performance GUIs for modern, media-rich applications in various domains such as business and game development You will get started with an introduction tobefore going on to develop stunning GUIs with modern features.
You will then learn how to build forms using QWidgets and learn about important aspects of GUI development such as layouts, size policies, and event-driven programming.
Next, in-depth coverage of multithreading and asynchronous programming will help you run tasks asynchronously and build high-concurrency processes with ease.
Finally, you will learn how to distribute your applications using setuptools and.
By the end of this book, you will have the skills you need to develop robust GUI applications using.
Marwan Alsabbagh ISBN :9781838649951 Packt Pages : 452 20 May 2019 Book Overview: Build practical solutions to control LEDs, make music and read sensor data using popular microcontrollers such as Adafruit Circuit Playground, ESP8266, and the BBC Micro Bit The book covers recipes that will help you experiment with the programming environment and hardware programmed in.
You'll find tips and techniques for building a variety of objects and prototypes that can sense and respond to touch, sound, position, heat, and light.
This book will take you through the uses of with a variety of popular input devices and sensors.
You'll learn techniques to handle time delays and sensor readings, and apply advanced coding techniques to create complex projects.
As you advance, you'll deal with Internet of Things IoT devices and integration with other online web services.
Furthermore, you'll also use to make music with bananas and create portable multiplayer video games that incorporate sound and light animations into the gameplay.
By the end of the book, you'll have mastered the tips and tricks to troubleshoot your development problems and push your project to the next level!
Throughout this course, you will be building multiple applications ranging from simpler ones to more complex ones.
Learning by doing has its advantages as you will immediately see the concepts explained in action.
You will learn how to build scalable, resilient, and effective applications as real-world projects in Python 3.
By the end of the course, you will build upon your basic programming skills taking your programming skills to another level and conveniently build projects with Python 3.
Hyatt Saleh ISBN 13: 9781789804591 Packt 254 Pages 26 Apr 2019 Book Overview: Implement techniques such as image classification and natural language processing NLP by understanding the different neural network architectures Machine learning is rapidly becoming the most preferred way of solving data problems, thanks to the huge variety of mathematical algorithms that find patterns, which are otherwise invisible to us.
Nathan Greeneltch ISBN 13: 9781789800265 Packt 188 Pages 24 Apr 2019 Book OR Video Overview: Explore the different data mining techniques using the libraries and packages offered by Python Data mining is a necessary and predictable response to the dawn of the information age.
With this book, you will be able to build an efficient data mining pipeline using Python without any hassle.
Some of the common yet important issues we cover include errors while building and training Deep Learning with neural networks, especially without a specific framework.
By the end of the course, you will be well-versed to tackle and troubleshoot any errors with your Deep learning models.
Yuxi Hayden Liu, Saransh Mehta ISBN 13: 9781788998086 Packt 316 Pages April 2019 Book Overview: Concepts, tools, and techniques to explore deep learning architectures and methodologies Deep learning architectures are composed of multilevel nonlinear operations that represent high-level abstractions; this allows you to learn useful feature representations from the data.
This book will help you learn and implement deep learning architectures to resolve various deep learning research problems.
With this book you will be able to construct deep models using popular frameworks and datasets with the required design patterns for each architecture.
You will be ready to explore the potential of deep architectures in today's world.
So, learning and mastering this fantastic world of Computer Vision-based technology is surely up-market.
It will make you proficient in competing with the swiftly changing Image Processing technology arena.
And this course is designed in such a way that even the very beginner to programming can master the Computer Vision-based technology.
So, overall this is a complete package in which you can learn Computer Vision-based Technology, Deep Learning-based Face Detection, then Face Recognition and Optical Character Recognition.
They are all complex real-world problems being solved with applications of intelligence AI.
This course provides you with a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.
A comprehensive course that takes you through AI in 3 hours.
It is packed with step by step instructions and working examples.
It is an exciting time to be doing AI with world making its shift towards Industry 2.
This course will blackjack fireworks brandon you learn by doing an industry relevant problem in image processing domain, develop and understand automation and AI techniques.
You will learn how to harness the power of algorithms by creating apps which intelligently interact with the world around you, addressing common challenges faced in AI ecosystem.
If you're interested in designing and building graphical user interfaces that are functional, appealing, and user-friendly using one of the most powerful languages, Python 3.
This course is for you.
It is meant for intermediate level programmers who want to enhance their skills by developing GUIs written in Python.
By the end of this course, you will have successfully mastered high-end GUI application such as Card Game and Paint App and will be capable of building many more powerful, cross-platform, and scalable applications.
You'll dive into the Flask environment and python 3.7 blackjack to know its directory structure, template, and routing systems.
Then you'll learn to connect to databases such as Flask-SQLAlchemy and Flask- to help store and track data.
The course will develop your experience in Flask and when you've completed it you will be able to build your own complex web applications.
It has the ability to create dynamic Neural Networks on CPUs and GPUs, both with significantly less code compared to other competing frameworks.
This 7-day course is for those who are in a hurry to get started with.
You will be introduced to the most commonly used Deep Learning models, techniques, and algorithms through code.
This course is an attempt to break the myth that Deep Learning is complicated and show you that with the right choice of tools combined with a simple and intuitive explanation of core concepts, Deep Learning is as accessible as any other application development technologies out there.
Rudy Lai, Bartłomiej Potaczek ISBN 13: 9781838644130 Packt 182 Pages Source 2019 Book Overview: Use to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobs Apache Spark is an open source parallel-processing framework that has been around for quite some time now.
One of the many uses of Apache Spark is for data analytics applications across clustered computers.
In this book, you will not https://chakefashion.com/blackjack/blackjack-chip-denominations.html learn how to use Spark and the Python API to create high-performance analytics with big data, but also discover techniques for testing, immunizing, and parallelizing Spark jobs.
You will learn how to source data from all popular data hosting platforms, including HDFS, Hive, JSON, and S3, and deal with large datasets with to gain practical big data experience.
This book will help you work on prototypes on local machines and subsequently go on to handle messy data in production and at scale.
This book covers installing and setting upRDD operations, big data cleaning and wrangling, and aggregating and summarizing data into useful reports.
You will also learn how to implement some practical and proven techniques to improve certain aspects of programming and administration in Apache Spark.
José Manuel Ortega, Dr.
Faruque Sarker, Sam Washington ISBN 13: 9781789958096 Packt 490 Pages March 2019 Book Overview: Take your networking skills to the next level by learning network programming concepts and algorithms using Python Network programming has always been a demanding task.
With full-featured and well-documented libraries all the way up the stack, Python makes network programming the enjoyable experience it should be.
Starting with a walk through of today's major networking protocols, through this book, you'll learn how to employ Python for network programming, how to request and retrieve web resources, and how to extract data in major formats over the web.
You will utilize Python for emailing using different protocols, and you'll interact with remote systems and IP and DNS networking.
You will cover the connection of networking devices and configuration using Python 3.
Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar ISBN 13: 9781789959413 Packt 420 Pages March 2019 Book Overview: Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Data Science for Marketing Analytics takes a hands-on approach to the practical aspects of using Python data analytics libraries to ease marketing analytics efforts.
It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context.
The book is designed for developers and marketing analysts looking 21 türkçe dublaj izle use new, more sophisticated tools in their marketing analytics efforts.
It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics.
Some experience with databases, Excel, statistics, or Tableau is useful but not necessary.
Giuseppe Ciaburro, Prateek Joshi ISBN 13: 9781789808452 Packt 642 Pages March 2019 Book Overview: Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn,and This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks.
With the help of over 100 recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem.
The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach.
You will build two complete real-world NLP applications throughout the course.
The first application is a Sentiment Much in cards blackjack how are worth that analyzes data to determine whether a review is positive or negative towards a particular movie.
You will then create an advanced Neural Translation Machine that is a speech translation engine, using Sequence to Sequence models with the speed and flexibility of to translate given text into different languages.
Zsolt Nagy Blackjack system 13: 9781789801651 Packt 330 Pages December 2018 Book Overview: Create AI applications in Python and lay the foundations for your career in data science As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters.
You will be introduced to neural networks, a powerful tool based on Moore's law.
By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills!
David Taieb ISBN 13: 9781789950069 Packt 490 Pages December 2018 Book Overview: Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data.
Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.
Explore the power of this approach to data analysis by then working with it across key industry case studies.
The first of these is an image recognition application with — embracing the importance today of AI in your data analysis.
The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing.
The third case study is a financial portfolio analysis application https://chakefashion.com/blackjack/online-blackjack-stratgie.html engages you with time series analysis - pivotal to many data science applications today.
The fourth industry use case dives you into graph algorithms and the power of programming in modern data science.
You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence.
You'll learn state-of-the-art techniques for classifying images, finding and identifying human postures, and detecting faces within videos.
You will use powerful machine learning tools such as OpenCV, Dlib, and to build exciting projects such as classifying handwritten digits, detecting facial features,and much more.
By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries.
Sunil Gupta ISBN 13: 9781788997010 Packt Course Length: 1 hour 10 minutes December 2018 Video Overview: This course focuses on the application of relevant Bayesian techniques The course introduces the framework of Bayesian Analysis.
Complex mathematical theory will be sidestepped in favor of a more pragmatic approach, featuring computational methods implemented in the Python library PyMC3.
We present source instances of analysis scenarios.
All the codes of the course are uploaded on the Github repository: Will Ballard ISBN 13: 9781788993883 Packt Course Length: 2 hours 11 minutes December 2018 Video Overview: Use your Python skills to build powerful Deep Learning applications This course is for Python developers who haven't worked with machine learning or data science, and want to build intelligent systems right away—without taking a math degree!
You will learn about recurrent neural networks, Backprop, SGD, and more.
You will work on code examples that are used in a developer's life on a daily basis; you'll not only master the theory, you'll also see how to applied it in the industry as a whole.
You will practice all these ideas in, Keras, and Gluon.
Last but not the least, build Convolutional Neural Networks and apply them to image data.
Deep Learning is currently enabling numerous exciting applications in speech recognition, music synthesis, machine translation, natural language understanding, and many others.
AI is transforming multiple industries.
After finishing this course, you will likely find creative ways to apply it to your work.
We will help you master Deep Learning, understand how to apply it, and build a career in Click here />Saurabh Badhwar ISBN 13: 9781789532364 Packt 374 pages December 2018 Book Overview: Dynamically typed languages like Click at this page are continuously improving.
With the addition of exciting new features and a wide selection of modern libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications.
Hands-On Enterprise Application Development with Python will show you how to build effective applications that are stable, secure, and easily scalable.
The book is a detailed guide to building an end-to-end enterprise-grade application in Python.
You will learn how to effectively implement Python features and design patterns that will positively impact your application lifecycle.
The book also covers advanced concurrency techniques that will help you build a RESTful application with an optimized frontend.
By the end of the book, you will have become proficient at building efficient enterprise applications in Python.
Osvaldo Martin ISBN 13: 9781789341652 Packt 356 Pages December 2018 Book Overview: Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ The second edition of Bayesian Analysis with Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3, a state-of-the-art probabilistic programming library, and ArviZ, a new library for exploratory analysis of Bayesian models.
The main concepts of Bayesian statistics are covered using a practical and computational approach.
Synthetic and real data sets are used to introduce several types of models, such as generalized linear models for regression and classification, mixture models, hierarchical models, and Gaussian processes, among others.
Alvaro Fuentes ISBN 13: 9781789138719 Packt 330 Pages December 2018 Book Overview: Step-by-step guide to build high performing predictive applications Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions.
It involves much more than just throwing data onto a computer to build a model.
This book provides practical coverage to help you understand the most important concepts of predictive analytics.
Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages.
The book's step-by-step approach starts by defining the problem and moves on to identifying relevant data.
We will also be performing data preparation, exploring and visualizing relationships, building models, tuning, evaluating, and deploying model.
Mark Strefford ISBN 13: 9781788839532 Packt Course Length: 1 hour 58 minutes November 2018 Video Overview: Build interactive chatbots, facial recognition, headline writers, and more.
No AI experience required!
Built for rookie AI enthusiasts across four realistic projects, this course covers modern techniques that make up the world of Artificial Intelligence.
Dive into your first natural language processing project, build a facial recognition system, and build your very own self driving steering code.
You will explore the use of neural networks and deep learning, and how you can train and test sets for feature extraction.
You'll be introduced to the Keras deep learning library, which you will use to predict taxi journey times, and to the use of natural language processing to find the most relevant articles in Wikipedia.
By the end of this video course, you will be confident enough to build your own AI projects with Python, and ready to take on more advanced content as you move on.
Wayne Merry ISBN 13: 9781788396073 Packt Course Length: 2 hours 21 minutes November 2018 Video Overview: Bring your Python full stack web development experience full circle by integrating your Ute casino blackjack rules backend with a React frontend You will start by quickly setting up your tools and Node.
After that, you will put together your basic frontend code for interacting with your Django backend.
You will learn to build and use React components for your application's UI, and work with your React code's data and state to determine how your application behaves.
You'll also explore routing and event handling for your application.
From there, you will delve into backend interaction details, such as authentication for login.
You will learn to consume your Django resources and also create, update, and delete item data.
You'll also learn specific tasks such as managing your bookmarks and counting and collecting likes and comments on your bookmarks.
By the end of this course, you will have successfully integrated your Python web application's backend with a React.
Tiago Antao ISBN 13: 9781789344691 Packt 360 Pages November 2018 Book Overview: Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data.
This book covers next-generation sequencing, genomics, metagenomics, population genetics, phylogenetics, and proteomics.
You'll learn modern programming techniques to analyze large amounts of biological data.
With the help of real-world examples, you'll convert, analyze, and visualize datasets using various Python tools and libraries.
Sandipan Dey ISBN 13: 9781789343731 Packt 492 Pages November 2018 Book Overview: Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks.
This book will touch the core of image processing, from concepts to code using Python.
The book will start from the classical image processing techniques and explore the evolution of image processing algorithms up to the recent advances in image processing or computer vision with deep learning.
We will learn how to use image processing libraries such as PIL, scikit-mage, and scipy ndimage in Python.
This book will enable us to write code snippets in Python 3 and quickly implement complex image processing algorithms such as image enhancement, filtering, segmentation, object apologise, boombetcasino sorry, and classification.
We will be able to use machine learning models using the scikit-learn library and later explore deep CNN, such as VGG-19 with Keras, and we will also use an end-to-end deep learning model called YOLO for object detection.
We will also cover a few advanced problems, such as image inpainting, gradient blending, variational denoising, seam carving, quilting, and morphing.
Nirant Kasliwal ISBN 13: 9781789130386 Packt 182 Pages November 2018 Book Overview: Going from a Python developer to an effective Natural Language Processing Engineer NLP in Python is among the most sought after skills among data scientists.
With code and relevant case studies, this book will show how you can use industry-grade tools to implement NLP programs capable of learning from relevant data.
We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP.
The book takes you from the basics of NLP to building text processing applications.
We start with an introduction to the basic vocabulary along with a workflow for building NLP applications.
Simeon Kostadinov ISBN 13: 9781789132335 Packt 122 Pages November 2018 Book Overview: Learn how to develop intelligent applications with sequential learning and apply modern methods for language modeling with neural network architectures for deep learning with Python's most popular framework.
Developers struggle to find an easy-to-follow learning resource for implementing Recurrent Neural Network RNN models.
RNNs are the state-of-the-art model in deep learning for dealing with sequential data.
From language translation to generating captions for an image, RNNs are used to continuously improve results.
This book will teach you the fundamentals of RNNs, with example applications in Python and the library.
The examples are accompanied by the right combination of theoretical knowledge and real-world implementations of concepts to build a solid foundation of neural network modeling.
Your journey starts with the simplest RNN model, where you can grasp the fundamentals.
The book then builds on this by proposing more advanced and complex algorithms.
We use them to explain how a typical state-of-the-art RNN model works.
From generating text to building a language translator, we show how some of today's most powerful AI applications work under the hood.
After reading the book, you will be confident with the fundamentals of RNNs, and be ready to pursue further study, along with developing skills in this exciting field.
Brian Tuomanen ISBN 13: 9781788993913 Packt 310 Pages November 2018 Book Overview: Build real-world applications with Python 2.
With a solid background in place, you will now apply your new-found knowledge to develop your very own GPU-based deep neural network from scratch.
By the end of this book, you will be able to apply GPU programming to problems related to data science and high-performance computing.
Colibri Digital ISBN 13: 9781789618464 Packt Course Length: 2 hours 31 minutes November 2018 Video Overview: Dive right into the world of Computer Vision and AI by making five awesome, real-life applications with this hands-on course The scope of computer vision has been booming in the past few years and it has become a highly sought-after skill.
There are tons of real-life problems just waiting to please click for source solved with computer vision.
If you want to get your hands dirty with this technology and use it to craft your own, unique solutions, then look no further because this course is made for you!
Quan Nguyen ISBN 13: 9781789343052 Packt 446 Pages November 2018 Book Overview: Immerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problems Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing.
Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time.
This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming.
Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock GIL.
Finally, you'll learn how to solve real-world concurrency problems through examples.
Syeda Seemab ISBN 13: 9781789138795 Packt Course Length: 2 hours 34 minutes November 2018 Video Overview: Build reactive applications with Python.
Make your applications concurrent and asynchronous with RxPY This practical guide will take you steadily through an exploration of Reactive Programming.
In this course, you will learn about Reactive Programming in Python using RxPY and simplify the way you write code and create robust enterprise applications.
The course covers the major libraries on Python reactive extensions RxPY and explains in detail the role of asynchronous programming and event-based programming in building reactive extensions.
You will look deep into its provided classes, methods, and operators, to help you to build a reactive application.
By the end of the course, you will be equipped to solve real-world problems and have a clear understanding of when and how you should use the different approaches demonstrated in RxPY.
Achim Takunda Munene ISBN 13: 9781788991575 Course Length: 6 hours 7 minutes November 2018 Video Overview: Dive into the world of Flask Framework in Python to build an array of simple yet powerful web applications This course will take you through Flask Microframework; it covers all its components and elements and how to integrate it blackjack website online useful third-party libraries.
You will download all you need to get started with Flask development and then delve straight into the frontend and backend development stack.
The course will then show you the general flow in developing a Flask application, including some extensions used by developing a simple application.
You will then develop multiple applications such as note-taking, social medias, and file sharing applications.
By the end of the course, you will be able to build your own web applications using Flask in Python.
Brian Allbee ISBN 13: 9781788622011 Packt 736 Pages October, 2018 Book Overview: Explore various verticals in software engineering through high-end systems using Python Software Engineering is about more than just writing code—it includes a host of soft skills that apply to almost any development effort, no matter what the language, development methodology, or scope of the project.
Being a senior developer all but requires awareness of how those skills, along with their expected technical counterparts, mesh together through a project's life cycle.
This book walks you through that discovery by going over the entire life cycle of a multi-tier system and its related software projects.
You'll see what happens before any development takes place, and what impact the decisions and designs made at each step have on the development process.
The development of the entire project, over the course of several iterations based on real-world Agile iterations, will be executed, sometimes starting from nothing, in one of the fastest growing languages in the world—Python.
Application of practices in Python will be laid out, along with a number of Python-specific capabilities that are often overlooked.
Finally, the book will implement a high-performance computing solution, from first principles through complete foundation.
Basant Agarwal ISBN 13: 9781788995573 Packt 398 Pages October, 2018 Book Overview: Learn to implement complex data structures and algorithms using Read more This book helps you to understand the power of linked lists, double go here lists, and circular linked lists.
You will learn to create complex data structures, such as graphs, stacks, and queues.
As you make your way through click at this page chapters, you will explore the application of binary searches and binary search trees, along with learning common techniques and structures used in tasks such as preprocessing, modeling, and transforming data.
In the concluding chapters, you will get to grips with organizing your code in a manageable, consistent, and extendable way.
You will also study how to bubble sort, selection sort, insertion sort, and merge sort algorithms in detail.
By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications.
You will get insights into Python implementation of all the important and relevant algorithms.
You will train machine learning algorithms to classify flowers, predict house price, identify handwritings or digits, identify staff that is most likely to leave prematurely, detect cancer cells and much more!
By the end of this course, you will have a Portfolio of 12 Machine Learning projects that will help you land your dream job or enable you to solve real-life problems in your business, job or personal life with Machine Learning algorithms.
Rajeev Ratan ISBN 13: 9781789616521 Packt Course Length: 6 hours 14 minutes October 2018 Video Overview: Learn Computer Vision concepts by building 12 projects, including handwriting recognition, face filters, and car and people detection!
Computer vision applications and technology are exploding right now, with several apps and industries making amazing use of the technology—ranging from up-and-coming apps such as MSQRD, and PRISMA to billion-dollar apps such as Pokémon GO and Snapchat!
Even Facebook, Google, Microsoft, Apple, Amazon, and Tesla are all heavily utilizing computer vision for face and object recognition, image searching, and especially in self-driving cars!
As a result, the demand for computer vision expertise is growing exponentially!
However, learning computer vision is hard!
Existing online tutorials, textbooks, and free MOOCs are often outdated, using older and incompatible libraries, or are too theoretical, making the subject difficult to understand.
This was the author's problem when learning Computer Vision and it became incredibly frustrating.
Even simply running example code found online proved difficult as libraries and functions were often outdated.
The author created this course to teach you all the key concepts without the heavy mathematical theory—all the while using the most up-to-date methods.
At the end of the course, you will be able to build 12 awesome Computer Vision apps using OpenCV the best supported open-source computer vision library that exists today!
Using it in Python is just fantastic as Python allows us to focus on the problem at hand without getting bogged down in complex code.
If you're an academic or college student but want to learn more, the author still points you in the right direction by linking the research papers for techniques used.
So if you want to get an excellent foundation in Computer Vision, look no further.
This is the course for you!
ISBN 13: 9781789618976 Course Length 6 hours 59 minutes October 2018 Video Overview: This course will take you on a journey where you'll learn how to code in Python.
You will learn how to use Python in a real working environment and explore how Python can be applied in the world of Finance to solve portfolio optimization problems.
The first part of the course is ideal for beginners and people who want to brush up on their Python skills.
And then, once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks.
The Finance block of this course will teach you in-demand, real-world skills employers are looking for.
This explains topics such as how to work with Python's conditional statements, functions, sequences, and loops, build investment portfolios, and more.
The code bundle for this video course is available at.
Alex Galea ISBN 13: 9781789958171 Packt 192 Pages MONTH YEAR Book Overview: Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.
In this book, you'll learn every aspect of the standard data workflow process, including collecting, cleaning, investigating, visualizing, and modeling data.
You'll start with the basics of Jupyter, which will be the backbone of the book.
After familiarizing ourselves with its standard features, you'll look at an example of it in practice with our first analysis.
In the next lesson, you dive right into predictive analytics, where multiple classification algorithms are implemented.
Finally, the book ends by looking at data collection techniques.
You'll see how web data can be acquired with scraping techniques and via APIs, and then briefly explore interactive visualizations.
Romain Picard ISBN 13: 9781789138726 Packt Course Length: 12 hours 36 minutes October 2018 Video Overview: A comprehensive guide to help you understand the principles of Reactive and asynchronous programming and its benefits This hands-on guide gets you started with Reactive Programming RP in Python.
You will learn abouta the principles and benefits of using RP, which can be leveraged to build powerful concurrent applications.
As you progress through the chapters, you will be introduced to the paradigm of Functional and Reactive Programming FaRPobservables and observers, and concurrency and parallelism.
The book will then take you through the implementation of an audio transcoding server and introduce you to a library that helps in the writing of FaRP code.
You will understand how to use third-party services and dynamically reconfigure an application.
By the end of the book, you will also have learned how to deploy and scale your applications with Docker and Traefik and explore the significant potential behind the reactive streams concept, and you'll have got to grips with a comprehensive set of best practices.
Perform accurate and reliable processing tasks with Computer vision using OpenCV This course begins with the basics of loading and working with images.
You will detect colored objects in your images easily.
You will also use tools to build and apply filters in your photos and track objects in a video.
By the end of the course, you will have a firm grasp of Computer Vision techniques using OpenCV libraries.
This course will be your gateway to the world of data science.
ISBN 13: 9781788397414 Packt Course Length: 1 hour 46 minutes October 2018 Book OR Video Overview: Build amazing and complex reactive web applications with Vue.
You'll earn the concepts that you need to know about Vue.
You'll build an application as you go, putting the concepts we've explained into practice.
Several modern tools such as Webpack, vue-cli, hot reloading, and vue devtools will be used to develop modern web applications, focusing on the view layer to provide the most performant experience for users.
Also you will use the vue-cli-based Webpack template and look at how we can build on top of that starter kit.
By the end of this course, you will be able to build complex and large web applications with Vue.
With this book, you will get to grips with reactive programming by steadily exploring various concepts This hands-on guide gets you started with Reactive Programming RP in Python.
You will learn abouta the principles and benefits of using RP, which can be leveraged to build powerful concurrent applications.
As you progress through the chapters, you will be introduced to the paradigm of Functional and Reactive Programming FaRPobservables and observers, and concurrency and parallelism.
The book will then take you through the implementation of an audio transcoding server and introduce you to a library that helps in the writing of FaRP code.
You will understand how to use third-party services and dynamically reconfigure an application.
By the end of the book, you will also have learned how to deploy and scale your applications with Docker and Traefik and explore the significant potential behind the reactive streams concept, and you'll have got to grips with a comprehensive set of best practices.
Flask is a popular Python framework known for its lightweight and modular design.
Mastering Flask Web Development will take you on a complete tour of the Flask environment and teach you how to build a production-ready application.
You'll begin by learning about the installation of Flask and basic concepts such as MVC and accessing a database using an ORM.
You will learn how to structure your application so that it can scale to any size with the help of Flask Blueprints.
You'll then learn how to use Jinja2 templates with a high level of expertise.
You will also learn how to develop with SQL or NoSQL databases, and how to develop REST APIs and JWT authentication.
Next, you'll move on to build role-based access security and authentication using LDAP, OAuth, OpenID, and database.
Also learn how to create asynchronous tasks that can scale to any load using Celery and RabbitMQ or Redis.
You will also be introduced to a wide range of Flask extensions to leverage technologies such as cache, localization, and debugging.
You will learn how to build your own Flask extensions, how to write tests, and how to get test coverage reports.
Finally, you will learn how to deploy your click at this page on Heroku and AWS indiana grand casino blackjack various technologies, such as Docker,and Elastic Beanstalk, and will also learn how to variant blackjack odds percentage for Jenkins pipelines to build, test, and deploy applications.
Eduonix Learning Solutions ISBN 13: 9781789536591 Packt 134 Pages October 2018 Book Overview: Create real-world machine learning solutions usingpandas, matplotlib, and scikit-learn Machine Learning ML has changed the way organizations and individuals use data to improve the efficiency of a system.
ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data.
Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies for creating powerful solutions for healthcare analytics.
This book will teach you how to implement key machine learning algorithms and walk you through their use cases by employing a range of libraries from the Python ecosystem.
You will build five end-to-end projects to evaluate the efficiency of Artificial Intelligence AI applications for carrying out simple-to-complex healthcare analytics tasks.
With each project, you will gain new insights, which will then help you handle healthcare data efficiently.
As you make your way through the book, you will use ML to detect cancer in a set of patients using support vector machines SVMs and k-Nearest neighbors KNN models.
In the final chapters, you will create a deep neural network in Keras to predict the onset of diabetes in a huge dataset of patients.
You will also learn how to predict heart diseases using neural networks.
Kevin Jolly ISBN 13: 9781789343700 Packt 172 Pages October 2018 Book Overview: Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering.
Scikit-learn is a robust machine learning library for the Python programming language.
It provides a set of supervised and unsupervised learning algorithms.
This book is the easiest way to learn how to deploy, optimize, and evaluate all of the important machine learning algorithms that scikit-learn provides.
This book teaches you how to use scikit-learn for machine learning.
You will start by setting up and configuring your machine learning environment with scikit-learn.
To put scikit-learn to use, you will learn how to implement various supervised and unsupervised machine learning models.
You will learn classification, regression, and clustering techniques to work with different types of datasets and train your models.
Matthew Lamons, Rahul Kumar, Abhishek Nagaraja ISBN 13: 9781788997096 Packt 472 Pages October 2018 Book Overview: Insightful projects to master deep learning and neural network architectures using Python and Keras Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.
Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision.
Each of these projects is unique, helping you progressively master the subject.
José Manuel Ortega ISBN 13: 9781788992510 Packt 426 Pages September 2018 Book Overview: Master Python scripting to build a network and perform security operations Python is being used for increasingly advanced tasks, with the latest update introducing many new packages.
This book focuses on leveraging these updated packages to build a secure network with the help of Python scripting.
This book covers topics from building a network to the different procedures you need to follow to secure it.
As you progress through the chapters, you will also learn how to achieve endpoint protection by leveraging Python packages along with writing forensic scripts.
By the end of this book, you will be able to get the most out of the Python language to build secure and robust networks that are resilient to attacks.
Jaime Buelta ISBN 13: 9781789133806 Packt 398 Pages September 2018 Book Overview: Step-by-step instructions which take you through each program to automate monotonous tasks with Python 3.
Alan Fontaine ISBN 13: 9781789617740 Packt 154 Pages September 2018 Book Overview: Learn advanced techniques to improve the performance and quality of your predictive models Python is a programming language that provides a wide range of features that can be used in the field of data science.
Mastering Predictive Analytics with scikit-learn and covers various implementations of ensemble methods, how they are used with real-world datasets, and how they improve prediction accuracy in classification and regression problems.
This book starts with ensemble methods and their features.
You will see that scikit-learn provides tools for choosing hyperparameters for models.
As you make your way through the book, you will cover the nitty-gritty of predictive analytics and explore its features and characteristics.
You will also be introduced to artificial neural networks andand how it is used to create neural networks.
In the final chapter, you will explore factors such as computational power, along with improvement methods and software enhancements for efficient predictive analytics.
By the end of this book, you will be well-versed in using deep neural networks to solve common problems in big data analysis.
Sam Bowne ISBN 13: 9781788398343 Packt Course Length: 2 hours 53 minutes September 2018 Video Overview: Create simple binary exploits with Python This video course starts with high-level code injection, the simplest sort of exploit.
It then explains binary exploits that allow you to skip past unwanted code, such as the password or product key tests, and add Trojan code.
You will perform the exploit development process: finding a vulnerability, analyzing a crash in a debugger, creating a crafted attack, and achieving remote code execution on Windows and Linux.
You will use the gdb debugger to analyze Linux executables and Python code to exploit them.
On Windows, you'll use the Immunity debugger and Python.
This course uses a demonstration-and-challenge approach which guides students from passive observation to practical implementation of binary exploit at development techniques.
Sean Saito, Yang Wenzhuo and Rajalingappaa Shanmugamani ISBN 13: 9781788991612 Continue reading 296 Pages September 2018 Book Overview: Deploy autonomous agents in business systems using powerful Python libraries and sophisticated reinforcement learning models Reinforcement learning RL is the next big leap in the artificial intelligence domain, given that it is unsupervised, optimized, and fast.
Python Reinforcement Learning Projects takes you through various aspects and methodologies of reinforcement learning, with the help of insightful projects.
You will learn about core concepts of reinforcement learning, such as Q-learning, Markov models, the Monte-Carlo process, and deep reinforcement learning.
In addition to this, you will learn how to tune and configure RL algorithms and parameters by building agents for different kinds of games.
By the end of this book, you will have created eight real-world projects that explore reinforcement learning and will have handson experience with real data and artificial intelligence AI problems.
Ankur Ankan and Abinash Panda ISBN 13: 9781788625449 Packt 178 Pages September 2018 Book Overview: Unleash the power of unsupervised machine learning in Hidden Markov Models usingpgmpy, and hmmlearn Hidden Markov Model HMM is a statistical model based on the Markov chain concept.
Hands-On Markov Models with Python helps you get to grips with HMMs and different inference algorithms by working on real-world problems.
The hands-on examples explored in the book help you simplify the process flow in machine learning by using Markov model concepts, thereby making it accessible to everyone.
By the end of this book, you will have grasped how to build your own Markov and hidden Markov models on complex datasets in order to apply them to projects.
Deepti Chopra, Iti Mathur, Nisheeth Joshi ISBN 13: 9781789618358 Packt Course Length: 1 hour 37 minutes August 2018 Video Overview: Explore various NLP tasks while enhancing your Python skills in real-world scenarios!
This course will give you expertise on how to employ various NLP tasks in Python, giving you an insight into the best practices when designing and building NLP-based applications using Python.
It will help you become an expert in no time and assist you in creating your own NLP projects using NLTK.
You will sequentially be guided through applying machine learning tools to develop various models.
Taylor Smith ISBN 13: 9781789347654 Packt Course Length: 3 hours 6 minutes August 2018 Video Overview: Teach your machine to think for itself!
This course will guide you through the implementation and nuances of many popular supervised machine learning algorithms while facilitating a deep understanding along the way.
It solves real-world problems in the areas of health, population analysis, and figuring out buying behavior, and more.
In this course you will build powerful projects using Scikit-Learn.
Using algorithms, you will learn to read trends in the market to address market demand.
You'll delve more deeply to decode buying behavior using Classification algorithms; cluster the population of a place to gain insights into using K-Means Clustering; and create a model using Support Vector Machine classifiers to predict heart disease.
Andy Craze ISBN 13: 9781789138580 Packt Course Length: 1 hour 47 minutes August 2018 Video Overview: Use Selenium automation, to save you time when testing in Python This course introduces Python users to Selenium.
It will help users with basic programming knowledge to start code-testing.
This course will help users cut down on their time spent on testing code written in Python.
Next, you will explore the biggest strength of Selenium: integrating your test instances with the browser of your choice.
You will then actually test an authentication system in a sequential manner by following each of the required steps.
By the end of the course, you will be able to provide your customers and clients with better quality code in less time, enhancing customer satisfaction!
Alvaro Fuentes ISBN 13: 9781789531701 Packt 178 Pages August 2018 Book Overview: Enhance your data analysis and predictive modeling skills using popular Python tools In this book, we will cover Python libraries such aspandas, matplotlib, seaborn,and scikit-learn, and apply them in practical data analysis and statistics examples.
As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using and the pandas library.
In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques.
By the end of this book, you will have hands-on experience performing data analysis with Python.
Hands-On Bitcoin Programming with Python teaches you to build software applications for mining and creating Bitcoins using Python.
This book starts with the basics of both Bitcoin and blockchain and gives you an overview of these inherent concepts by showing you how to build Bitcoin-driven applications with Python.
Packed with clear instructions and practical examples, you will learn to understand simple Python coding examples that work with this cryptocurrency.
Alessandro Molina ISBN 13: 9781788830829 Packt 366 Pages August 2018 Book Overview: Build optimized applications in Python by smartly implementing the standard library The Python 3 Standard Library is a vast array of modules that you can use for developing various kinds of applications.
It contains an exhaustive list of libraries, and this book will help you choose the best one to address specific programming problems in Python.
The Modern Python Standard Library Cookbook begins with recipes on containers and data structures and guides you in performing effective learn more here management in Python.
You will find Python recipes for command-line operations, networking, filesystems and directories, and concurrent execution.
You will learn about Python security essentials in Python and get to grips with various development tools for debugging, benchmarking, inspection, error reporting, and tracing.
The book includes recipes to help you create graphical user interfaces for your application.
You will learn to work with multimedia components and perform mathematical operations on date and time.
The recipes will also show you how to deploy different searching and sorting algorithms on your data.
Mariano Anaya ISBN 13: 9781788835831 Packt 332 Pages August 2018 Book Overview: Getting the most out of Python to improve your codebase The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming.
You will learn about writing efficient and readable code using the Python standard library and best practices for software design.
You will learn to implement the SOLID principles in Python and use decorators to improve your code.
The book delves more deeply into object oriented programming in Python and shows you how to use objects with descriptors and generators.
It will also show you the design principles of software testing and how to resolve software problems by implementing design patterns in your code.
In the final chapter we break down a monolithic application to a microservice one, starting from the code as the basis for a solid platform.
By the end of the book, you will be proficient in applying industry approved coding practices to design clean, sustainable and readable Python code.
Melissa Dale ISBN 13: 9781788835794 Packt Course Length: 2 hours 13 minutes August 2018 Video Overview: Optimize Pycharm's strength to develop application easily.
Bruno Oliveira ISBN 13: 9781789347562 Packt 160 Pages August 2018 Book Overview: Learn the pytest way to write simple tests which can also be used to write complex tests Python's standard unittest module is based on the xUnit family of frameworks, which has its origins in Smalltalk and Java, and tends to be verbose to use and not easily extensible.
The pytest framework on the other hand is very simple to get started, but powerful enough to cover complex testing integration scenarios, necessary online free blackjack card game authoritative considered by many the true Pythonic approach to testing in Python.
You will also see how to use pytest in existing unittest-based test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily.
Eric Chou ISBN 13: 9781789135992 Packt 466 Pages August 2018 Book Overview: Master the art of using Python for a diverse range of network engineering tasks Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced.
Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers.
This book begins by reviewing the basics of Python and teaches you how Python can interact with both legacy and API-enabled network devices.
As you make your way through the chapters, you will then learn to leverage high-level Python packages and frameworks to perform network engineering tasks for automation, monitoring, management, and enhanced security.
In the concluding chapters, you will use Jenkins for continuous network integration as well as testing tools this web page verify your network.
Rajesh Arumugam, Rajalingappaa Shanmugamani ISBN 13: 9781789139495 Packt 312 Pages July 2018 Book Overview: Foster your NLP applications with the help of deep learning, NLTK, and Natural language processing NLP has found its application in various realize, wahrscheinlichkeit blackjack useful, such as web search, advertisements, and customer services, and with the help of deep learning, we can enhance its performances in these areas.
To begin with, you will understand the core concepts of NLP and deep learning, such as Convolutional Neural Networks CNNsrecurrent neural networks RNNssemantic embedding, Word2vec, and more.
You will learn how to perform each and every task of NLP using neural networks, in which you will train and deploy neural networks in learn more here NLP applications.
You will get accustomed to using RNNs and CNNs in various application areas, such as text classification and sequence labeling, which are essential in the application of sentiment analysis, customer service chatbots, and anomaly detection.
You will be equipped with practical knowledge in order to implement deep learning in your linguistic applications using Python's popular deep learning library.
Rounak Banik ISBN 13: 9781788993753 Packt 146 Pages July 2018 Book Overview: With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems collaborative, knowledge and content based spending six deck blackjack shoe deploying them to the web This book shows you how to do just that.
You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python.
No need to wade through tons of machine learning theory—you'll get started with building and learning about recommenders as quickly as possible.
In this book, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata.
You'll use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques With this book, all you need to get started with building recommendation systems is a familiarity with Python, and by the time you're fnished, you will have a great grasp of how recommenders work and be in a strong position to apply the techniques that you will learn to your own problem domains.
Joran Beasley ISBN 13: 9781788472784 Packt Course Length: 3 hours 16 minutes July 2018 Video Overview: Learn Python like a Professional!
Start from the basics and go all the check this out to create your program in it.
In this course, you will start by setting up your development environment, including downloading Python and setting up your IDE ; you'll then be introduced to Python lists and list comprehensions.
The course will then show you what a generator is and why you might want to use one.
Further on, you will be introduced to functions and decorators, and see how you can use them.
You will then learn how to create a very simple, single-file Python program, and how to execute it both from the command line and from within the IDE.
You'll also get a very brief introduction to debugging.
By the end of the course, you'll have learned how to manipulate strings, parsing and printing them.
Wayne Merry ISBN 13: 9781788293143 Packt Course Length: 2 hours 49 minutes July 2018 Video Overview: Take your skills with Python to the next level by guiding you to pick the right stack.
define weapon the growing demand for full-stack developers, it is important to learn how you can combine the powers of Python with other libraries to create amazing applications.
Django has basic front-end support but we show how complex operations can be performed at https://chakefashion.com/blackjack/blackjack-table-explained.html front-end.
We show you how to unleash the power of Python's Rest API and other functionalities to create compelling applications powered by ReactJS.
We will be using a production-level database such as Postgres.
Delving into key aspects such as code reusability, deployment and maintaining your application, we discuss production server configuration and bundle technologies with Python to provide an end-to-end web development solution.
Colibri Ltd ISBN 13: 9781789138535 Packt Course Length: 2 hours and 38 minutes July 2018 Video Overview: From first-class functions to abstract base classes, apply Pythonic tricks to your application and be a Python rockstar This course is will take you from a Python outsider to an insider.
You will benefit from insights from the Python documentation, PEPs, and online developer communities to learn the ultimate Pythonic ways to tackle common programming patterns.
This course covers tips, tricks, and techniques for loops, data structures, object-oriented programming, functions, and more, helping you work on ordered collections and key-value stores for dictionaries.
You will be able to increase the speed and performance of your code while making it easier to debug.
Start writing cleaner code for your applications and learn to organize it better in just 3 hours.
It is packed full of useful tips and relevant advice which can be applied to real, commercial products.
Throughout the course, we maintain a focus on practicality and getting things done, not fancy programming concepts and theory.
Mihai Costea ISBN 13: 9781789139235 Packt Course Length: 3 hours 17 minutes July 2018 Video Overview: Improve your application development process to build efficient apps with Python The course starts by dealing with performance issues and learning how to tackle them in an application.
Distributing an application with Python is not easy but you will learn ways to distribute applications developed using Python along with GUIs, web applications, and more.
Further, you will learn to test your application at different levels and use modern software at the development stage.
You will also learn to expand productivity using standard and third-party tools.
Finally, you will learn to protect your code quality from potential errors and detect any problem at an early stage, to prevent any issues later.
You will start by exploring Python issues and how to diagnose them.
Then you will be introduced to the most popular ways to distribute Python applications.
Next, you will test applications and use modern software in the development process.
Finally, you will learn to expand your productivity and manage code quality to prevent any issues later.
Rudy Lai ISBN 13: 9781788995337 Packt Course Length: 2 hours 50 minutes July 2018 Video Overview: Tackle Python performance problems and speed up your apps with parallelism, concurrent execution, and OOP Troubleshooting Python Application Development is your answer.
This course takes you through a structured journey of performance problems that your application is likely to encounter, and presents both the intuition and the solution to these issues.
You'll get things done, without a lengthy detour into how Python is implemented or computational theory.
The course is full of hands-on instructions, interesting and illustrative visualizations, and, clear explanations from a data scientist.
It is packed full of useful tips and relevant advice.
Throughout the course, we maintain a focus on practicality and getting things done, not fancy mathematical theory.
Eric Chou ISBN 13: 9781788994583 Packt XXX Pages OR Course Length: 3 hours 3 minutes July 2018 Video Overview: The complete guide that will help you create and automate your network with Python The goal of the course is to master key Python concepts as they are applied in the network engineering context.
Computer Networks, large and small, has become ever increasingly software-driven in the last several years.
A typical network engineer faces the challenge of learning a completely new discipline that normally takes years to master.
This course will use Python, an easy-to-learn, popular first-time-programmer language as the foundation to bridge the gap for network engineers facing the automation challenge, this will help network engineers become experts in using Python for networking.
The video will start by demonstrating how to use Python and supported libraries to automate network tasks.
Then you will get familiar with the concepts and work with the Ansible framework in order to achieve your network goals.
You will then come across ways to monitor your network using Python.
Besides this, you will develop a good understanding and explore ways to solve issues related to the security wheel that treats the network as one single entity instead of dispersing components.
By the end of the course, the students will master skills required to accomplish advance network automation using Python.
Colibri Ltd ISBN 13: 9781789345612 Packt Course Length: 2 hours 46 minutes July 2018 Video Overview: A complete Python guide link Natural Language Processing to build spam filters, topic classifiers, and sentiment analyzers There is an overflow of text data online nowadays.
As a Python developer, you need to create a new solution using Natural Language Processing for does blackjack powersports apologise next project.
Your colleagues depend on you to monetize gigabytes of unstructured text data.
What do you do?
Hands-on NLP with NLTK and scikit-learn is the answer.
This course puts you right on the spot, starting off with building a spam classifier in our first video.
At the end of the course, you are going to walk away with three NLP applications: a spam filter, a topic classifier, and a sentiment analyzer.
There is no need for fancy mathematical theory, just plain English explanations of core NLP concepts and how to apply those using Python libraries.
Taking this course will help you to precisely create new applications with Python and NLP.
You will be able to build actual solutions backed by machine learning and NLP processing models with ease.
Alberto Boschetti, Luca Massaron ISBN 13: 9781789616057 Packt Course Length: 1 hours 50 minutes July 2018 Video Overview: Become an efficient data science practitioner by understanding Python's key concepts This course will make you look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and.
We start with SVM and random forest for classification and regression.
We look at big data, deep learning, and language processing.
Then we use graph analysis techniques for very interesting and trending social media analytics.
Finally, we take a complete overview of the principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment tools that make it easier to present your results to an audience of both data science experts and business users.
Cyrille Rossant ISBN 13: 9781789539219 Packt Course Length: 2 hours 38 minutes July 2018 Video Overview: Use IPython and Jupyter Notebook to sharpen your skills for your data analysis and visualization tasks Machine learning and data analysis are the center of attraction for many engineers and scientists.
The reason is quite obvious: its vast application in numerous fields and booming career options.
And Python is one of the leading open source platforms for data science and numerical computing.
IPython, and its associated Jupyter Notebook, provide Python with efficient interfaces to for data analysis and interactive visualization, and they constitute an ideal gateway to the platform.
If you are among those seeking to enhance their capabilities in machine learning, then this course is the right choice.
Statistical Methods and Applied Mathematics in Data Science provides many easy-to-follow, ready-to-use, and focused recipes for data analysis and scientific computing.
This course tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics.
Harwani ISBN 13: 9781788831000 Packt 462 Pages July 2018 Book Overview: Over 60 recipes to help you design interactive, smart, and cross-platform GUI applications is one of the best cross-platform interface toolkits currently available; it's stable, mature, and completely native.
If you want control over all aspects of UI elements, is what you need.
This book will guide you through every concept necessary to create fully functional GUI applications usingwith only a few lines of code.
As you expand your GUI using more widgets, you will cover networks, databases, and graphical libraries that greatly enhance its functionality.
Next, the book guides you in using Qt Designer to design user interfaces and implementing and testing dialogs, events, the clipboard, and drag and drop functionality to customize your GUI.
You will learn a variety of topics, such as look and feel customization, GUI animation, graphics rendering, implementing Google Maps, blackjack nd more.
Luis Pedro Coelho, Willi Richert, Matthieu Brucher ISBN 13: 9781788623223 Packt 406 Pages July 2018 Book Overview: Get more from your data by creating practical machine learning systems with Python This book shows you exactly how to find patterns in your raw data.
You will start by brushing up on your Python machine learning knowledge and being introduced to libraries.
You'll quickly get to grips with serious, real-world projects on datasets, using modeling and creating recommendation systems.
By the end of this book, you will be able to build machine learning systems using techniques and methodologies such as classification, sentiment analysis, computer vision, reinforcement learning, and neural networks.
Abdulwahid Abdulhaque Barguzar ISBN 13: 9781788837613 Packt 324 Https://chakefashion.com/blackjack/slot-3d-online-gratis.html July 2018 Book Overview: Master serverless architectures in Python and their implementation, with Zappa on three different frameworks.
Serverless applications are becoming very popular these days, not just because they save developers the trouble of managing harrahs cherokee blackjack rules servers, but also because they provide several other benefits such as cutting heavy costs and improving the overall performance of the application.
This book will help you build serverless applications in a quick and efficient way.
We begin with an introduction to AWS and the API gateway, the environment for serverless development, and Zappa.
We then look at building, testing, and deploying apps in AWS with three different frameworks--Flask, Django, and Pyramid.
Setting up a custom domain along with SSL certificates and configuring them with Zappa is also covered.
A few advanced Zappa settings are also covered along with securing Zappa with AWS VPC.
Finally, you will explore how to deploy your applications to the cloud using the spark-submit command.
By the end of this book, you will be able to use the Python API for Apache Spark to solve any problems associated with building data-intensive applications.
Sudharsan Ravichandiran ISBN 13: 9781788836524 Packt 318 Pages June 2018 Book Overview: A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and.
You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration.
This example-rich guide will introduce you to deep reinforcement learning algorithms, such as Dueling DQN, DRQN, Blackjack melbourne florida, PPO, and TRPO.
You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many more of the recent advancements in reinforcement learning.
By the end of the book, you will have all the knowledge and experience needed to implement reinforcement learning and deep reinforcement learning in your projects, and you will be all set to enter the world of artificial intelligence.
Umit Mert Cakmak, Mert Cuhadaroglu ISBN 13: 9781788993357 Packt 248 Pages June 2018 Book Overview: Enhance the power of and start boosting your scientific computing capabilities Beginning with 's arrays and functions, you will familiarize yourself with linear algebra concepts to perform vector and matrix math operations.
You will thoroughly understand and practice data processing, exploratory data analysis EDAand predictive modeling.
You will then move on to working on practical examples which will teach you how to use statistics in order to explore US housing data and develop a predictive model using simple and multiple linear regression techniques.
Once you have got to grips with the basics, you will explore unsupervised learning and clustering algorithms, followed by understanding how to write better code while keeping advanced considerations in mind.
The book also demonstrates the use of different high-performance numerical computing libraries and their relationship with.
You will study how to benchmark the performance of different configurations and choose the best for your system.
By the end of this book, you will have become an expert in handling and performing complex data manipulations.
Fabrizio Romano ISBN 13: 9781788996662 Packt 508 Pages June 2018 Book Overview: Build a solid foundation in coding by utilizing the language and its core characteristics You will begin by exploring the foundations of and fundamental topics on Python and learn to manipulate them.
As you make your way through the chapters, you'll control the flow of a program, and persist and utilize an interchange format to exchange data.
You'll also walk through cryptographic services in Python and understand secure slotline hfss />Throughout, the book covers various types of applications, and it concludes with building real-world applications based on all the concepts that you learned.
By the end of the book, you'll have a proper understanding of the Python language and a solid grasp on how to work with data.
You'll know how to quickly build a website and harness the power of Python's renowned data science libraries.
Next, we will walk you through automating administration tasks with Python Fabric, where you will learn to perform server configuration and administration, along with system administration tasks such as user management, database management, and process management.
In the concluding chapters, you will cover Python-based offensive security tools and learn how to automate your security tasks.
By the end of this book, you will have mastered the skills of automating several system administration tasks with Python.
Chiheb Chebbi ISBN 13: 9781788997409 Packt 276 Pages June 2018 Book Overview: Become a master at penetration testing using machine learning with Python This book begins with the basics of machine learning and the algorithms used to build robust systems.
By the end of this book, you will be well-versed with identifying loopholes in a self-learning security system and will be able to efficiently breach a machine learning system Ashish Singh Bhatia ISBN 13: 9781788997591 Packt Course Length: 3 hours June 2018 Video Overview: Step into the world of to create deep learning models with the help of real-world examples is a Deep Learning framework that is a boon for researchers and data scientists.
It supports Graphic Processing Units and is a platform that provides maximum flexibility and speed.
Withyou can dynamically build neural click to see more and easily perform advanced Artificial Intelligence tasks.
The course starts with the fundamentals of and how to use basic commands.
The next project shows you how to predict character sequence using Recurrent Neural Networks RNN and Long Short Term Memory Network LSTM.
So, grab this course as it will take you through interesting real-world projects to train your first neural nets.
This video course will start by showing you how to set up Anaconda Python for the major OSes with cutting-edge third-party libraries for computer vision.
Alex Galea ISBN 13: 9781789532029 Packt 194 Pages June 2018 Book Overview: Getting started with data science doesn't have to be an uphill battle.
This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.
Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course.
You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world.
We'll finish up by showing you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context.
Christian Martorella ISBN 13: 9781789533972 Packt 138 Pages June 2018 Book Overview: Leverage the simplicity of Python and available libraries to build web security testing tools for your application Learning Python Web Penetration Testing will walk you through the web application penetration testing methodology, showing you how to write your own tools with Python for each activity throughout the process.
The book begins by emphasizing the importance of knowing how to write your own tools with Python for web application penetration testing.
You will then learn to interact with a web application using Python, understand the anatomy of an HTTP request, URL, headers and message body, and later create a script to perform a request, and interpret the response and its headers.
As you make your way through the book, you will write a web crawler using Python and the Scrappy library.
The book will also help you to develop a tool to perform brute force attacks in different parts of the web application.
Lentin Joseph ISBN 13: 9781788623315 Packt 280 Pages June 2018 Book Overview: Design, simulate, and program interactive robots Robot Operating System ROS is one of the most popular robotics software frameworks in research and industry.
It has various features for implementing different capabilities in a robot without implementing them from scratch.
This book starts by showing you the fundamentals of ROS so you understand the basics of differential robots.
Then, you'll learn about robot modeling and how to design and simulate it using ROS.
Moving on, we'll design robot hardware and interfacing actuators.
Then, you'll learn to configure and program depth sensors and LIDARs using ROS.
Finally, you'll create a GUI for your robot using the Qt framework.
By the end of this tutorial, you'll have a clear idea of how to integrate and 888 casino blackjack strategy card everything into a robot and how to bundle the software package.
Das ISBN 13: 9781787122529 Packt 396 Pages June 2018 Book Overview: Fix everyday testing problems in Python with the help of this solution-based guide Automated testing is the best way to increase efficiency while reducing the defects of software source />It helps find bugs in code easily and at an early stage so that they can be tackled efficiently.
This book delves into essential testing concepts used in Python to help you build robust and maintainable code.
Python Testing Cookbook begins with a brief introduction to Python's unit testing framework to help online free blackjack vegas write automated test cases.
You will learn how to write suitable test sets for your software and run automated test suites with Nose.
You will then work with the unittest.
You will also see how to apply Test-driven Development TDD and Behavior-driven Development BDD and how to eliminate issues caused by TDD.
It also covers best practices and will help you solve persistent testing issues in Python.
The book concludes by helping you understand how doctest works and how Selenium can be used to test code efficiently.
Arish Ali ISBN 13: 9781788999137 Packt Course Length: 2 hours 22 minutes June 2018 Video Overview: Build powerful Machine Learning models using Python with hands-on myvegas blackjack examples in just a week.
Machine learning is one of the most sought-after skills in the market.
But have you ever wondered where to start or found the course not so easy to follow.
With this hands-on and practical machine learning course, you can blackjack canada free and start applying machine learning in less than a week without having to be an expert mathematician.
In this course, you will be introduced to a new machine learning aspect in each section followed by a practical assignment as a homework to help you in efficiently implement the learnings in a practical manner.
With the systematic and fast-paced approach to this course, learn machine learning using Python in the most practical and structured way to develop machine learning projects in Python in a week.
This course is structured to unlock the potential of Python machine learning in the shortest amount of time.
If you are looking to upgrade your machine learning skills using Python in the quickest possible time, then this course is for you!
Stefan Jansen ISBN 13: 9781788992855 Packt Course Length: 3 hours 34 python 3.7 blackjack June 2018 Video Overview: Use Python to apply market basket analysis, PCA and dimensionality reduction, as well as cluster algorithms This course explains the most important Unsupervised Learning algorithms using real-world examples of business applications in Python code.
Say you have millions of transaction data on products purchased at a retailer.
Which individual products or product categories are most likely to be purchased together?
How about a large number of survey responses — which answers were most often given together, for all or some subset of respondents?
Association Rules provide answers to these questions, and they are most frequently used in Market Basket Analysis.
The Apriori Algorithms solves the formidable computational challenges of calculating Association Rules.
After taking this course, you will be understanding and be able to apply the Apriori Algorithm to calculate, interpret and create interactive visualizations of association rules.
This course will allow you to utilize Principal Component Analysis, and to visualize and interpret the results of your datasets such as the ones in the above description.
You will also be able to apply hard and soft clustering methods k-Means and Gaussian Mixture Models to assign segment labels to customers categorized in your sample data sets.
Rudy Lai ISBN 13: 9781788995931 Packt Course Length: 2 hours 36 minutes June 2018 Video Overview: App development, data science, automation, web scraping or computer vision—Make the switch to Python quickly You are a programmer.
You already know many languages, but Python isn't one of them.
Today, you need to get up-to-speed with Python in a short period of time, but your search has so far come up with disconnected, unrelated tutorials or guides.
Learn Python in 3 hours is a fast-paced, action-packed course that maximizes your time; it's designed from the ground up to bring you from zero to hero in the shortest time.
The course is based on many years of Python development experience in both large enterprises and nimble startups.
In particular, the course's hands-on and practical approach comes from the author's experience in rapidly iterating and shipping products in a startup setting, where responsiveness and speed are key.
With Learn Python in 3 hours, you will be up-and-running with Python like you are with your other languages, proving your value and expertise to your team today, and building your CV and skillset for tomorrow Indra den Bakker ISBN 13: 9781789531602 Packt Course Length: 1 hour 45 minutes June 2018 Video Overview: Over 20 practical videos on neural network modeling, reinforcement learning, and transfer learning using Python Deep Learning is revolutionizing a wide range of industries.
For many applications, Deep Learning has been proven to outperform humans by making faster and more accurate predictions.
This course provides a top-down and bottom-up approach to demonstrating Deep Learning solutions to real-world problems in different areas.
These applications include Computer Vision, Generative Adversarial Networks, and time series.
This course presents technical solutions to the issues presented, along with a detailed explanation of the solutions.
Furthermore, it provides a discussion on the corresponding pros and cons of implementing the proposed solution using a popular framework such as, and Keras.
The course includes solutions that are related to the basic concepts of neural networks; all techniques, as well as classical network topologies, are covered.
The main purpose of this video course is to provide Python programmers with a detailed list of solutions so they can apply Deep Learning to common and free card game 21 scenarios.
Chandra Lingam ISBN 13: 9781789539523 Packt Course Length: 3 hours 10 minutes June 2018 Video Overview: Learn cutting-edge pattern matching skills for log mining, big data parsing, cleanup and preparation with Regex Welcome to Python Regular Expressions Course!
You will apply your new skills with four hands-on real-world projects.
You will gain solid understanding on type of performance issues regex can run into, and techniques to address them.
As part of resources in this course, you will get a high-quality quick reference click, an interactive tool, all the source code and downloadable slides.
Why Learn Regular Expressions?
Very often, the data that we need is not readily accessible or useful.
Data preparation and clean-up is often one of the most time-consuming activities in a software automation project.
Instead of spending time writing code for all this, you can specify data patterns of interest and let regular expression engine do the work for you.
Regular Expression is cross-platform and you can learn the concepts once and use it in multiple programming languages and environment Looking forward to seeing you in the course!
Valeriy Babushkin ISBN 13: 9781789135817 Packt Python 3.7 blackjack Length: 2 hours 46 minutes June 2018 Video Overview: Transform your simple machine learning model into a cutting edge powerful version Machine learning allows us to interpret data structures and fit that data into models to identify patterns and make predictions.
Python makes this easier with its huge set of libraries that can be easily used for machine learning.
In this course, you will learn from a top Kaggle master to upgrade your Python skills with the latest advancements in Python.
Each technique we cover is itself enough to improve your results.
However; combining them together is where the real magic is.
Throughout the course, you will work on real datasets to increase your expertise and keep adding new tools to your machine learning toolbox.
By the end of this course, you will know various tips, tricks, and techniques to upgrade your machine learning algorithms to reduce common problems, all the while building efficient machine learning models.
Thushan Ganegedara ISBN 13: 9781788478311 Packt 472 Pages May 2018 Book Overview: Write modern natural language processing applications using deep learning algorithms and.
Thushan Ganegedara starts by giving you a grounding in NLP and basics.
You'll then learn how to use Word2vec, including advanced extensions, to create word embeddings that turn sequences of words into vectors accessible to deep learning algorithms.
Chapters on classical deep learning algorithms, like convolutional neural networks CNN and recurrent neural networks RNNdemonstrate important NLP tasks as sentence classification and language generation.
You will learn how to apply high-performance RNN models, like long short-term memory LSTM cells, to NLP tasks.
You will also explore neural machine translation and implement a neural machine translator.
After reading this book, you will gain an understanding of NLP and you'll have the skills to apply in deep learning NLP applications, and how to perform specific NLP tasks.
If you are struggling in your day-to-day data analysis tasks, then this is the right course for you.
This fast-pace guide follows a recipe-based approach, each video focusing on a commonly-faced issue.
This course covers advanced and powerful time series capabilities so you can dissect by any possible dimension of time.
It introduces the Matplotlib library, which is responsible for all of the plotting in pandas, at the same time focusing on the pandas plot method and the Seaborn library, which is capable of producing aesthetically pleasing visualizations not directly available in pandas.
This course guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.
Yuxing Yan, James Yan ISBN 13: 9781788831192 Packt mit students beat blackjack Pages May 2018 Book Overview: Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda Anaconda is an open source platform that brings together the best tools for data on when stand to blackjack hit and professionals with more than 100 popular packages supporting Python, Scala, and R languages.
Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world.
The book begins with setting up the environment for Anaconda platform in order to make it accessible for tools and frameworks such as Jupyter, pandas, matplotlib, Python, R, Julia, and more.
Diwakar Vaish ISBN 13: 9781788832922 Packt 340 Pages May 2018 Book Overview: Leverage the power of python to build DIY robotic projects Robotics is a fast-growing industry.
Robots are prevalent throughout all industries, and they are all set to be a part of our domestic lives.
This book starts with the installation and basic steps in configuring a robotic controller.
You'll then move on to setting up your environment to use Python with the robotic controller.
You'll dive deep into building simple robotic projects, such as a pet-feeding robot, and more complicated projects, such as machine learning enabled home automation system Jarvisvision processing based robots and a self-driven robotic vehicle using Python.
Cody Jackson ISBN 13: 9781788294874 Packt 380 Pages MAY 2018 Book Overview: Test your Python programming skills by solving real-world problems This book covers the unexplored secrets of Python, delve into its depths, and uncover its mysteries.
Indrasen Pilankar ISBN 13: 9781788629744 Packt Course Length: 2 hours 26 minutes May 2018 Video Overview: A practical approach to Object-Oriented Programming OOP in Python 3.
The world is filled with coders, who write pieces of programs in a bid to find solutions to various problems.
In such a field where the competition is already intense, you need a definitive edge over the rest.
One of the better ways to stay ahead of the pack is to write smarter code.
Writing large programs can be painful.
OOP saves a considerable amount of coding man-hours in the long run by writing code in a smarter way, through various techniques.
To ensure efficient coding, you will be introduced to Exceptions and Error Handling.
Furthermore, Encapsulation with methods and variables will help you to keep data safe from external, unwanted interference.
In the final sections, you will be taken through recursion mechanisms.
By the end of this course, you will be well-versed with the OOP techniques in Python 3, which will help you to write codes better and in an efficient manner.
Prabhat Ranjan ISBN 13: 9781788471312 Packt Course Length: 1 hour 21 minutes May 2018 Video Overview: Learn how to model and visualize data in Python through Pandas data library This video course will support users as they work through a typical real-world data analysis project step-by-step using Pandas.
It develops the deep knowledge and skills that will enable students go here immediately tackle their own projects with Pandas at work.
This product demonstrates how to make financial models using Python's software library for data manipulation and analysis.
Burkhard Meier ISBN 13: 9781788625807 Packt Course Length: 3 hours 20 minutes May 2018 Video Overview: Practical coding projects to get you up and running with Python in no time This video course explores Python basics, data structures, and algorithms.
We'll build a die rolling simulator to see how to use Python dictionaries, loops, functions, and control statements.
Next we will use a modular approach to build a game that consists of a deck of playing cards.
We will use object-oriented OOP Python classes to do so.
We will display the playing cards both in a textual form, which we create, as well as via image files.
This will lead to our displaying card images in a graphical form using Python's built-in Tkinter package.
Curtis Miller ISBN 13: 9781788295499 Packt Course Length: 1 hours 44 minutes May 2018 Video Overview: Turn practical hands-on projects such as language processing, computer vision, sentiment analysis, and text processing into useful application in Python to take your skills to another level!
This course contains in-depth content balanced with tutorials that put theory into practice.
This course will give you both a theoretical understanding and practical exp with examples that will allow you indulge in the art of statistical modeling and analysis using the Python programming language.
Michael Beyeler ISBN 13: 9781789340525 Packt Course Length: 2 hours and 25 minutes May 2018 Video Overview: A practical introduction to the world of machine learning and image processing using OpenCV and Python This course will cover essential concepts such as classifiers and clustering and will also help you get acquainted with neural networks and Deep Learning to address real-world problems.
The course will also guide you through creating custom graphs and visualizations, and show you how to go from raw data to beautiful visualizations.
By the end of this course, you will be ready to create your own ML system and will also be able to take on your own machine learning problems.
Hillar ISBN 13: 9781789138542 Packt 228 Pages May 2018 Book Overview: Explore the features included in the latest versions of MQTT for IoT and M2M communications and use them with modern Python 3.
MQTT is a lightweight messaging protocol for small sensors and mobile devices.
This book explores the features of the latest versions of MQTT for IoT and M2M communications, how to use them with Python 3, and allow you to interact with sensors and actuators using Python.
The book begins with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT broker.
You will use different utilities and diagrams to understand the most important concepts related to MQTT.
You will learn to make all the necessary configuration to work with digital certificates for encrypting all data sent between the MQTT clients and the server.
You will also work with the different Quality of Service levels and later analyze and compare their overheads.
You will write Python 3.
Towards the end, you will write Python code to use the cloud-based real-time MQTT provider to monitor a surfing competition.
In the end, you will have a solution that was built from scratch by analyzing the requirements and then write Python code that will run on water-proof IoT boards connected to multiple sensors in surfboards.
Moore ISBN 13: 9781788835886 Packt 452 Pages May 2018 Book Overview: Find out how to create visually stunning and feature-rich applications by empowering Python's built-in TKinter GUI toolkit Tkinter is a lightweight, portable, and easy-to-use graphical toolkit available in the Python Standard Library, widely used to build Python GUIs due to its simplicity and availability.
This book teaches you to design and build graphical user interfaces that are functional, appealing, and user-friendly using the powerful combination of Python and Tkinter.
After being introduced to Tkinter, you will be guided step-by-step through the application development process.
Over the course of the book, your application will evolve from a simple data-entry form to a complex data management and visualization tool while maintaining a clean and robust design.
In addition to building the GUI, you'll learn how to connect to external databases and network resources, test your code to avoid errors, and maximize performance using asynchronous programming.
You'll make the most of Tkinter's cross-platform availability by learning how to maintain compatibility, mimic platform-native look and feel, and build executables for deployment across popular computing platforms.
By the end of this book, you will have the skills and confidence to design and build powerful high-end GUI applications to solve real-world problems.
Mohit ISBN 13: 9781789138962 Packt 230 Pages May 2018 Book Overview: This book gives you the skills you need to use Python for penetration testing, with the help of detailed code examples.
This book has been updated for Python 3.
We start by exploring the basics of networking with Python and then proceed to network hacking.
Then, you will delve into exploring Python libraries to perform various types of pentesting and ethical hacking techniques.
click at this page, we delve into hacking the application layer, where we start by gathering information from a website.
We then move on to concepts related to website hacking—such as parameter tampering, DDoS, XSS, and SQL injection.
By reading this book, you will learn different techniques and methodologies that will familiarize you with Python pentesting techniques, how to protect yourself, and how to create automated programs to find the admin console, SQL injection, and XSS attacks.
Krishna Bhavsar, Naresh Kumar, Pratap Dangeti ISBN 13: 9781789348989 Packt Course Length: 1 hour 24 minutes April 2018 Video Overview: Learn read article tricks and tips that will help you design Text Analytics solutions Natural Language Processing NLP is a feature of Artificial Intelligence concerned with the interactions between computers and human natural languages.
This course includes unique videos that will teach you various aspects of performing Natural Language Processing with NLTK—the leading Python platform for the task.
In this course, you will learn blackjack ganar is and explore its features and usage.
It will teach how to extract raw text from web sources and introduce some critical pre-processing steps.
You will also get familiarized with the concept of pattern matching as a way to do text analysis.
Anand Saha ISBN 13: 9781788475266 Packt Course Length: 4 hours 42 minutes April 2018 Video Overview: Build useful and effective deep learning models with the Deep Learning framework In this course, you will learn how to accomplish useful tasks using Convolutional Neural Networks to process spatial data such as images and using Recurrent Neural Networks to process sequential data such as texts.
You will explore how you can make use of unlabeled data using Auto Encoders.
You will also be training a neural network to learn how to balance a pole all by itself, using Reinforcement Learning.
Throughout this journey, you will implement various mechanisms of the framework to do these tasks.
By the end of the video course, you will have developed a good understanding of, and feeling for, the algorithms and techniques used.
You'll have a good knowledge of how works and how you can use it in to solve your daily machine learning problems.
Thomas Dehaene ISBN 13: 9781789137361 Packt Course Length: 2 hours 26 minutes April 2018 Video Overview: Get high-quality information from your text using Machine Learning with Tensorflow, NLTK, Scikit-Learn, and Python Text is one of the most actively researched and widely spread types of data in the Data Science field today.
New advances in machine learning and deep learning techniques now make it possible to click to see more fantastic data products on text sources.
New exciting text data sources pop up all the time.
You'll build your own toolbox of know-how, packages, and working code snippets so you can perform your own text mining analyses.
You'll start by understanding the fundamentals of modern text mining and move on to some exciting processes involved in it.
You'll learn how machine learning is used to extract meaningful information from text and the different processes involved in it.
You will learn to read and process text features.
Then you'll learn how to extract information from text and work on pre-trained models, while also delving into text classification, and entity extraction and classification.
You will explore the process of word embedding by working on Skip-grams, CBOW, and with some additional and important text mining processes.
By the end of the course, you will have learned and understood the various aspects of text mining with ML and the important processes involved in it, and will have begun your journey as an effective text miner.
Rudy Lai ISBN 13: 9781788999229 Packt Course Length: 3 hours 17 minutes April 2018 Video Overview: Practical and unique solutions to common Machine Learning problems that you face.
Avoid any roadblocks while working with the Python data science ecosystem.
You are a data scientist.
Every day, you stare at reams of data trying to apply the latest and brightest of models to uncover new insights, but there seems to be an endless supply of obstacles.
Your colleagues depend on you to monetize your firm's data - and the clock is ticking.
What do you do?
Troubleshooting Python Machine Learning is the answer.
We have systematically researched common ML problems documented online around data wrangling, debugging models such as Random Forests and SVMs, and visualizing tricky results.
We leverage statistics from Stack Overflow, Medium, and to get a cross-section of what data scientists struggle with.
We have collated for you the top issues, such as retrieving the most important regression features and explaining your results after clustering, and their corresponding solutions.
We present these case studies in a problem-solution format, making it very easy for you to incorporate this into your knowledge.
Hussam Khrais ISBN 13: 9781788838979 Packt 176 Pages April 2018 Book Overview: Your one-stop guide to using Python, creating your own hacking tools, and making the most out of resources available for this programming language This book is packed with step-by-step instructions and working examples to make you a skilled penetration tester.
It is divided into clear bite-sized chunks, so you can learn at your own pace and focus on the areas of most interest to you.
This book will teach you how to code a reverse shell and build an anonymous shell.
You will also learn how to hack passwords and perform a privilege escalation on Windows with practical examples.
You will set up your own virtual hacking environment in pokertek heads up challenge, which will help you run multiple operating systems for your testing environment.
By the end of this book, you will have learned how to code your own scripts and mastered ethical hacking from scratch.
Krishna Bhavsar, Naresh Kumar, Pratap Dangeti ISBN 13: 9781789343335 Packt Course Length: 1 hour and 17 minutes April 30, 2018 Video Overview: Learn a practical viewpoint to understand and implement NLP solutions involving POS source, parsing, and much more This course is designed with advanced solutions that will take you from newbie to pro in performing Natural Language Processing with NLTK.
In this course, you will come across various concepts covering natural language understanding, Natural Language Processing, and syntactic analysis.
It consists of everything you need to efficiently use NLTK to implement text classification, identify parts of speech, tag words, and more.
You will also learn how to analyze sentence structures and master syntactic and semantic analysis.
By the end of this course, you will have all the knowledge you need to implement Natural Language Processing with Python.
Aldrin Yim, Claire Chung, Allen Yu ISBN 13: 9781788625173 Packt 300 Pages April 2018 Book Overview: Leverage the power of Matplotlib to visualize and understand your data more effectively Matplotlib is a popular data visualization package in Python used to design effective plots and graphs.
This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library.
Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib.
You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib.
You'll also explore data preparation techniques and data exploration in depth, and see how the Python standard library fits the functional programming model.
Jalaj Thanaki ISBN 13: 9781788390040 Packt 566 Pages April 2018 Book Overview: Practical, hands-on solutions in Python to overcome any problem in Machine Learning The book includes a wide range of applications: from analytics and NLP, to computer vision domains.
Some of the applications you will be working on include stock price prediction, a recommendation engine, building a chat-bot, a facial expression recognition system, and many more.
The problem examples we cover include identifying the right algorithm for your dataset and use cases, creating and labeling datasets, getting enough clean data to carry out processing, identifying outliers, overftting datasets, hyperparameter tuning, and more.
Here, you'll also learn to make more timely and accurate predictions.
In addition, you'll deal with more advanced use cases, such as building a gaming bot, building an extractive summarization tool for medical documents, and you'll also tackle the problems faced while building an ML model.
By the end of this book, you'll be able to fine-tune your models as per your needs to deliver maximum productivity.
Paul Crickard, Eric van Rees, Silas Toms ISBN 13: 9781788293334 Packt 440 Pages April 2018 Book Overview: Explore GIS processing and learn to work with various tools and libraries in Python.
Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools.
This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management.
This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis.
You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers.
You will then learn to use Python code libraries to read and write geospatial data.
You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite.
Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps.
Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API.
James Lee et al ISBN 13: 9781789133394 Packt Course Length: 3 hours and 18 minutes April 2018 Video Overview: Learn Apache Spark and Python by 12+ hands-on examples of analyzing big data with and Spark This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications usingthe Python API for Spark.
At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adopt Apache Spark for building big data processing pipeline and data analytics applications.
This course covers 10+ hands-on big data examples.
You will learn valuable knowledge about how to frame data analysis problems as Spark problems.
Together we will learn examples such as aggregating NASA Apache weblogs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find click here the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how makerspaces are distributed across different regions in the United Kingdom.
And much much more.
Jalem Raj Rohit ISBN 13: 9781787288676 Packt 272 Pages April 2018 Book Overview: Building efficient Python applications at minimal cost by adopting serverless architectures Serverless architectures allow you to build and run applications and services without having to manage the infrastructure.
Many companies have adopted this architecture to save cost and improve scalability.
This book will help you design serverless architectures for your applications with AWS and Python.
The book is divided into three modules.
The first module explains the fundamentals of serverless architecture and how AWS lambda functions work.
In the next module, you will learn to build, release, and deploy your application to production.
You will also learn to log and test your application.
In the third module, we will take you through advanced topics such as building a serverless API for your application.
You will also learn to troubleshoot and monitor your app and master AWS lambda programming concepts with API references.
Moving on, you will also learn how to scale up serverless applications and handle distributed serverless systems in production.
Aubrey Love II ISBN 13: 9781788835206 Packt Course Length: 2 hours 45 minutes APRIL 2018 Video Overview: Five languages in five hours.
Get started with programming in HTML5, CSS3, Python, C++, and more!
In this course, you will get to know 5 different languages, compilers, and editors for programming and then you will use HTML5 and CSS3 to build your own company website.
As you have successfully stepped into the world of programming, you will now delve into one of the most commonly used Android systems and build an amazing Android application click here your company.
Next you will master Python and start scripting to build your own Hello World Program.
For many people, C++ is just a dream but check this out will easily master this language and program your Hello World App with C++.
Now since you know 5 top languages, you can create a good résumé, create online visibility, and forge ahead in your career.
You'll understand several aspects of application development and we guarantee that, by the end of the video, you'll have your very own application up-and-running.
For the brave at heart, we also have exercises, at the end of each chapter, which will intrigue you and encourage you to add your own personal touch to the code and ultimately your application.
Harish Garg ISBN 13: 9781788830416 Packt Course Length: 1 hour 06 minutes APRIL 2018 Video Overview: Data Visualization with bqplot, NetworkX, and Bokeh in Python You will start by programming stunning interactive Data Visualizations using bqplot, an open source Python library developed by Bloomberg.
Then you bet vegas fire craps learn how to programmatically create interactive network graphs and visualizations.
You will then programmatically visualize data with the interactive Python visualization library, Bokeh.
Finally, you will build interactive web visualizations of data using Python: you will choose a number of inputs your users can control, then use any Python graphing library to create plots based on those inputs.
Claudio Sparpaglione ISBN 13: 9781788621953 Packt Course Length: 14 hours 22 minutes APRIL 2018 Video Overview: Make your day and master the Python: a powerful and versatile language and ecosystem that can help you save time and money.
This video course is about leveraging the Python programming language and its thriving ecosystem to save yourself time and money when doing common routine tasks.
Nobody wants to do boring and time-consuming tasks: days have 24 hours and you should squeeze out the most of this time for yourself - automating the boring tasks gives you back time to focus on what you really like to do.
Moreover, this is also the chance for you to learn a great general-purpose language such as Python, with which you can build very cool applications both at work and in your spare time.
The course is structured as an incremental learning path: you will start with a deep-dive into Python software development basics, then move on to write scripts to automate file system operations and file contents processing on your local host, then you will learn how to interact with web-based services such as websites and APIs in order to robotize the cool things that we do everyday - such as tweeting, posting to social networks, reading RSS feeds, etc.
By the end of this course you will have learned how to proficiently write structured Python code in a wide range of applications — from one-liner scripts to complex web applications https://chakefashion.com/blackjack/online-blackjack-fixed.html aiming at the automation of lots of common everyday life tasks.
Nick Locascio ISBN 13: 9781788629928 Packt Course Length: 3 hours 58 minutes MARCH 2018 Video Overview: Learn everything you need to know about Machine learning with Tensorflow and Scikit-Learn Machine Learning is one of the most transformative and impactful technologies of our time.
From advertising to healthcare, to self-driving cars, it is hard to find an industry that has not been or is not being revolutionized by machine learning.
Using the two most popular frameworks, Tensor Flow and Scikit-Learn, this course will show you insightful tools and techniques for building intelligent systems.
Using Scikit-learn you will create a Machine Learning project from scratch, and, use the Tensor Flow library to build and train professional neural networks.
We will use these frameworks to build a variety of applications for problems such as ad ranking and sentiment classification.
The course will then take you through the methods for unsupervised learning and what to do when you have limited or no labels for your data.
We use the techniques we have learned, along with some new ones, to https://chakefashion.com/blackjack/blackjack-knives-classic-mod-125.html a sentiment classifier, an autocomplete keyboard and a topic discoverer.
Rudy Lai ISBN 13: 9781788392402 Packt Course Length: 4 hours 28 minutes MARCH 2018 Video Overview: A practical tour of prediction and control in Reinforcement Learning using OpenAI Gym, Python, and Reinforcement learning RL is hot!
This branch of machine learning powers and Deepmind's Atari AI.
It allows programmers to create software agents that learn to take optimal actions forum aboutslots maximize reward, through trying out different strategies in a given environment.
This course will take you through all the core concepts in Reinforcement Learning, transforming a theoretical subject into tangible Python coding exercises with the help of OpenAI Gym.
The videos will first guide you through the gym environment, solving the -v0 toy robotics problem, before moving on to coding up and solving a multi-armed bandit problem in Python.
As the course ramps up, it shows you how to use dynamic programming and -based neural networks to solveanother OpenAI Gym challenge.
Lastly, we take the Blackjack challenge and deploy model free algorithms that leverage Monte Carlo methods and Temporal Difference TD, more specifically SARSA techniques.
Alexis Rutherford ISBN 13: 9781789139938 Packt Course Length: 1 hour 56 minutes MARCH 2018 Video Overview: Practical techniques and methods to analyze your text data.
Power your decision making using next generation libraries.
The company you work for has accumulated a lot of valuable data from its customers, all stored as text, and you need to extract some value from that data.
This course empowers you to know how to attack this and other text analysis problems to unlock value for your organization.
Thomas Snell ISBN 13: 9781788995580 Course Length: 2 hours 14 minutes March 2018 Video Overview: Get hands-on with machine learning using Python Given the constantly increasing amounts of data they're faced with, programmers have to come up with better solutions to make machines smarter and reduce manual work.
In this Machine Learning course, you'll use Python to craft better solutions and process them effectively.
By the end of the course, you will be adept at using the concepts and algorithms involved in Machine Learning.
This is a highly practical course and will equip you with sufficient hands-on training to help you implement ML skills right after finishing the course.
Joshua Eckroth ISBN 13: 9781788832403 Packt Course Length: 2 hours 02 minutes March 2018 Video Overview: Enter and explore the fascinating world of intelligent applications with Artificial Intelligence using the Python programming language Considered the Holy Grail of automation, data analysis, and robotics, Artificial Intelligence has taken the world by storm as a major field of research and development.
This video course is built for those with a basic understanding of artificial intelligence, introducing them to advanced artificial intelligence projects as they go ahead.
The first project introduces natural language processing including part-of-speech tagging and named entity extraction.
Wikipedia articles are used to demonstrate the extraction of keywords, and the Enron email archive is mined for mentions and relationships of people, places, and organizations.
Julian Avila ISBN 13: 9781789130157 Packt Course Length: 1 hour and 24 minutes March 2018 Video Overview: AA one-stop solution to learning complex models with Neural Networks and understanding the basics of Natural Language Processing.
With this course you will learn the Decision Tree algorithms and Ensemble Models to build Random Forest, Regression Click here />You will focus on Decision Trees and Ensemble Algorithms.
Moving forward, you learn to use scikit-learn to classify text and Multiclass with scikit-learn.
You will explore various algorithms for classification.
You will also look at Naive Bayes model and Label Propagation.
Finally, you'll use Neural Networks using different Classifiers and create your own Simple Estimator.
Saikat Basak ISBN 13: 9781789135091 Packt Course Length: 1 hour and 36 minutes March 2018 Video Overview: A practical approach to deep learning and deep reinforcement learning for building real-world applications using.
This course will show you how to combine the power of Artificial Intelligence and to develop some exciting applications for the real world.
This course will take you through all the relevant AI domains, tools, and algorithms required to build optimal solutions and will show you how to implement them hands-on.
You will then be taken through techniques such as reinforcement learning, heuristic searches, neural networks, Computer Vision, OpenAI Gym, and more in different stages of your application.
This course will show you how to implement AI practically using models and how it eases the way you interact with the technology.
You will learn how can be used to analyze a variety of data sets and will learn to optimize various AI algorithms.
By the end of the course, you will have learned to build intelligent apps by leveraging the full potential of Artificial Intelligence with.
Alexey Spizhevoy, Aleksandr Rybnikov ISBN express lords of blackjack login think 9781788474443 Packt 306 Pages March 2018 Book Overview: Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs In this book, you will learn how to process an image by manipulating pixels and analyze an image using histograms.
Then, we'll show you how to apply image filters to enhance image content and exploit the image geometry in order to relay different views of a pictured scene.
Finally, you'll get acquainted with recent approaches in deep learning and neural networks.
Elliot Forbes ISBN 13: 9781789134346 Packt Course Length: 3 hours and 35 minutes March 2018 Video Overview: More than 20 videos to help you master concurrency in Python This course introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs.
We'll cover the fundamental concepts of concurrency needed to be able to write your own concurrent and parallel software systems in Python.
The course will guide you down the path to mastering Python concurrency, giving you all the necessary hardware and theoretical knowledge.
We'll cover concepts such as debugging and exception handling as well as some of the most popular libraries and frameworks that allow you to create event-driven and reactive systems.
By the end of the video course, you'll have learned techniques to write incredibly efficient concurrent systems that follow best practices.
Taylor Smith ISBN 13: 9781788991056 Packt Course Length: 2 hours 39 minutes March 2018 Video Overview: Understand and implement the best Machine Learning practices with the help of powerful features of Python click here scikit-learn This course will help you discover the magical black box that is Machine Learning by teaching a practical approach to modeling using Python along with the Scikit-Learn library.
We begin our journey by observing the end result of a Machine Learning deployment before moving back to the fundamentals and into exploratory data analysis.
Moving on, we learn to develop complex pipelines and techniques for building custom transformer objects for feature extraction, manipulation, and other effective data cleansing techniques.
Finally, we discover how to select a model, apply optimal hyper-parameters, and deploy it.
Abhinav Dadhich ISBN 13: 9781788297684 Packt 234 Continue reading February 2018 Book Overview: A practical guide designed to get you from basics to current state of art in computer vision systems.
In this book, you will find several recently proposed methods in various domains of computer vision.
You will start by setting up the proper Python environment to work on practical applications.
This includes setting up libraries such as OpenCV,and Keras using Anaconda.
Using these libraries, you'll start to understand the concepts of image transformation and filtering.
You will find a detailed explanation of feature detectors such as FAST and ORB; you'll use them to find similar-looking objects.
With an introduction to convolutional neural nets, you will learn how to build a deep neural net using Keras and how to use it to classify the Fashion-MNIST dataset.
With regard to object detection, you will learn the implementation of a simple face detector as well as the workings of complex deep-learning-based object detectors such as Faster R-CNN and SSD using.
Gavin Hackeling ISBN 13: 9781789134780 Packt Course Length: 3 hours 21 minutes February 2018 Book OR Video Overview: Learn to implement and evaluate machine learning solutions with scikit-learn Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models.
Using powerful algorithms and techniques offered by machine learning, you can automate any analytical model.
This course examines a variety of machine learning models including popular machine learning algorithms such as k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial neural networks.
It also discusses data preprocessing, hyperparameter optimization, and ensemble methods.
You will build systems that classify documents, recognize images, detect ads, and more.
By the end of this course, you bet in blackjack double master all required concepts of scikit-learn to build efficient models at work to carry out advanced tasks with the practical approach.
Harish Kumar Garg ISBN 13: 9781788838658 Packt Course Length: 1 hours 17 minutes February 2018 Video Overview: Data visualization with matplotlib, ggplot, and seaborn in Python Data visualization is just a wise investment in your future big-data needs.
You will learn how to deploy maps and networks to display geographic and network data.
To do this, we will focus on the following very popular libraries in Python: matplotlib, ggplot, seaborn, and plotly.
In this course, you will walk through some of the fundamentals of data visualization, sharing many examples of how to handle different types of data and how best to present your insights.
We'll take a look at chart types, such as Matplotlib for visualizing the impact of tornadoes in the US, North Korean nuke tests on global stocks, and analyze forex performances using charts.
You will see how ggplot can be used to analyze trends in BRICS economies and crude oil price trends.
You will see how to level up your data visualization skills using Python's advanced plotting libraries: matplotlib and Seaborn, and how you can present the data from the most unstable regions in the world through data visualization.
Michael Heydt ISBN 13: 9781787285217 Packt 364 Pages February 2018 Book Overview: Untangle your web scraping complexities and access web data with ease using Python scripts Right from extracting data from the websites to writing a sophisticated web crawler, the book's independent recipes will be a godsend on the job.
This book covers Python libraries, requests, and.
You will learn about crawling, web spidering, working with AJAX websites, paginated items, and more.
You will also learn to tackle problems such as 403 errors, working with proxy, scraping images, LXML, and more.
By the end of this book, you will be able to scrape websites more efficiently and to be able to deploy and operate your scraper in the cloud.
Alex Rutherford ISBN 13: 9781788839068 Can casino advantage in blackjack the Length: 2 hours 41 minutes February 2018 Video Overview: Gain valuable insights from your data by streamlining unstructured data pipelines with Python, Spark, and MongoDB This course is a comprehensive, practical guide to using MongoDB and Spark in Python, learning how to store and make sense of huge data sets, and performing basic machine learning tasks to make predictions.
MongoDB is one of the most powerful non-relational database systems available offering robust scalability and expressive operations that, when combined with Python data analysis libraries and distributed computing, represent a valuable set of tools for the modern data scientist.
NoSQL databases require a new elements casino mohawk blackjack of thinking about data and scalable queries.
Once Mongo queries have been mastered, it is necessary to understand how we can leverage this API in Python's rich analysis and visualization ecosystem.
This course will cover how to use MongoDB, particularly if you are used to SQL databases, with a focus on scalability to large datasets.
MongoDB uniquely allows for complex operations and aggregations to be run within the query itself and we will cover how to use these operators.
While MongoDB itself is built for easy scalability across many nodes as datasets grow, Python is not.
Therefore, we cover how we can use Spark with MongoDB to handle more complex machine learning techniques for extremely large datasets.
This learning will be applied to several examples of real-world datasets and analyses that can form the basis of your own pipelines, allowing you to quickly get up-and-running with a powerful data science toolkit.
Tomasz Drabas ISBN 13: 9781788396592 Course Length: 2 hours 29 minutes February 2018 Video Overview: Building and deploying data-intensive applications at scale using Python and Apache Spark You'll learn about different techniques for collecting data, and distinguish between and understand techniques for processing data.
Next, we provide an in-depth review of RDDs and contrast them with.
We provide examples of how to read data from files and from HDFS and how to specify schemas using reflection or programmatically in the case of.
The concept of lazy execution is described and we outline various transformations and actions specific to RDDs and.
Finally, we show you how to use SQL to interact with.
By the end of this tutorial, you will have learned how to process data using Spark and mastered data collection techniques by distributed data processing.
Software LLP ISBN 13: 9781788998031 Course Length: 2 hours 20 minutes February 2018 Video Overview: Harness the power of modern code structures with Python to improve performance and flexibility Filled with examples, this course will show you all you need to know to start using concurrency in Python.
You will learn about the principal approaches to concurrency that Python has to offer, including libraries and tools needed to exploit the performance of your processor.
Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel processing.
After taking this course you will have gained an in-depth knowledge of using threads and processes with the help of real-world examples.
Software LLP ISBN 13: 9781788998031 Course Length: 2 hours 20 minutes February 2018 Video Overview: Harness the power of modern code structures with Python to improve performance and flexibility Filled with examples, this course will show you all you need to know to start using concurrency in Python.
You will learn about the principal approaches to concurrency that Python has to offer, including libraries and tools needed to exploit the performance of your processor.
Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel processing.
After taking this course you will have gained an in-depth knowledge of using threads and processes with the help of real-world examples.
Vishnu Subramanian ISBN 13: 9781788624336 Packt 262 Pages February 2018 Book Overview: Build neural network models in text, vision and advanced analytics using This book will get you up and running with one of the most cutting-edge deep learning libraries—.
You'll start off by installingthen quickly pity, blackjack clipart are on to learn various fundamental blocks that power modern deep learning.
You will also learn how to use CNN, RNN, LSTM and other networks to solve real-world problems.
This book explains the concepts of various state-of-the-art deep learning architectures, such as, Inception, andwithout diving deep into the math behind them.
You will also learn about GPU computing during the course of the book.
You will see how to train a model with and dive into complex neural networks such as generative networks for producing text and images.
By the end of the book, you'll be able to implement deep learning applications in with ease.
Eric Chou ISBN 13: 9781788479387 Course Length: 2 hours and 3 minutes February 2018 Video Overview: Accomplish Network Engineering Tasks with Python You will learn to create exciting Python apps to automate daily networking tasks such as configuring devices, collecting information about the network, testing by client simulations, or network discovery.
This course will help you build some mesmerizing network tools with Python, including a Subnet calculator; configuring multiple network devices concurrently via SSH or Telnet; a DHCP client simulator for testing a DHCP server in the local network; network discovery via SNMP; OS fingerprinting; and network attacks via Scapy.
This tutorial uses real-life scenarios and use cases to help you build network automation tools with the amazing Python language.
By the end of this course, you will be able to take your Python programming skills to the next level for network automation.
This course provides hands-on, interesting examples with clear and friendly explanations that students can follow along with, covers common mistakes, and provides useful tips and in-the-trenches advice.
There is a limited amount of theory; instead, the examples are full of real-world use cases.
Daniel Furtado, Marcus Pennington ISBN 13: 9781786468161 Packt 456 Pages February 2018 Book Overview: How to build useful, real-world applications in the Python programming language In this book, we will cover some of the most common tasks that Python developers face on a daily basis, including performance optimization and making web applications more secure.
We will familiarize ourselves with the associated software stack and master asynchronous features in Python.
We will build a weather application using command-line parsing.
We will then move on to create a Spotify remote control where we'll use OAuth and the Spotify Web API.
The next project will cover reactive extensions by teaching you how to cast votes on Twitter the Python way.
We will also focus on web development by using the famous Django framework to create an online game store.
We will then create a web-based messenger using the new Nameko microservice framework.
We will cover topics like authenticating users and, storing messages in Redis.
By the end of the book, you will have gained hands-on experience in coding with Python.
Riaz Munshi ISBN 13: 9781788394291 Packt Course Length: 3 hours 30 minutes January 2018 Video Overview: Discover how to build advanced OpenCV3 projects with Python This course features some trending applications of vision and deep learning and will help you master these techniques.
You will learn how to retrieve structure from motion sfm and you will also see how we can build an application to capture 2D images and join them dynamically to achieve street views by capturing camera projection angles and relative image positions.
You will also learn how to track your head in 3D in real-time, and perform facial recognition against a goldenset.
You will also build an app to capture facial emotions based on a.
Next, you'll generate panoramas using image stitching and we extend this concept by generating a map based on the trajectory of ISS.
You'll also learn more here to build an application to capture beautiful panoramas and table blackjack sportcraft poker achieve AR effects.
You then delve into one of the most trending domains of computer vision: autonomous cars.
You'll learn about various architectures and this web page the skills to detect lanes, and segment and track vehicles in traffic.
You will be using Carla, which is a open driving simulator by Intel, for your project to train a car learn how to drive itself using an end-to-end model.
Wei Di, Anurag Bhardwaj, Jianing Wei ISBN 13: 9781785880360 Packt 284 Pages Jan 2018 Book Overview: Get to grips with the essentials of deep learning by leveraging the power of Python This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios.
You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on.
You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing.
Popular Python library such as is used in this book to build the models.
This book also covers solutions for different problems you might come across while training models, such as noisy datasets, small datasets, and more This book does not assume any prior knowledge of deep learning.
From there, you will be introduced to supervised learning, where you will explore the principles of machine learning and train different machine learning models.
Julian Avila ISBN 13: 9781789132793 Packt Course Length: 1 hour 32 minutes Jan 2018 Video Overview: A one-stop solution to quickly program fast Machine Learning algorithms with and scikit-learn This course begins by taking you through videos on evaluating the statistical properties of data and generating synthetic data for machine learning modeling.
As you progress through the sections, you will come across videos that will teach you to implement techniques such as data pre-processing, linear regression, logistic regression, and K-NN.
You will also look at Pre-Model and Pre-Processing 12 vs 2 blackjack, to help you choose the right models.
Finally, you'll explore dimensionality reduction with various parameters.
Cyrille Rossant ISBN 13: 9781785888632 Packt 548 Pages Jan 2018 Book Overview: Learn to use IPython and Jupyter Notebook for your data analysis and visualization work.
You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning.
The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high-performance computing through just-in-time compilation, parallel computing, and graphics card programming.
The second part tackles data science, statistics, machine learning, link and image processing, dynamical systems, and pure and applied mathematics.
Ankit Dixit ISBN 13: 9781788297752 Packt 438 Pages December 2017 Book Overview: An effective guide to using ensemble techniques to enhance machine learning models This book covers different machine learning algorithms that are widely used in the practical world to make predictions and classifications.
It addresses different aspects of a prediction framework, such as data pre-processing, model training, validation of the model, and more.
You will gain knowledge of different machine learning aspects such as bagging decision trees and random forestsBoosting Ada-boost and stacking a combination of bagging and boosting algorithms.
Loonycorn ISBN 13: 9781788997522 Packt Course Length: 1 hour 43 minutes December 2017 Video Overview: Factor extraction using PCA in Excel, R and Python Factor analysis helps to cut through the clutter when you have a lot of correlated variables to explain a single effect.
See how Principal Components Analysis is a cookie cutter technique to solve factor extraction and how it relates to Machine learning.
Loonycorn ISBN 13: 9781788991957 Packt Course Length: 4 hours 45 minutes December 2017 Video Overview: Build robust models in Excel, R and Python This course will teach you how to build robust linear models and do logistic regression in Excel, R and Python.
Robust linear models: Linear Regression is a powerful method for quantifying the cause and effect relationships that affect different phenomena in the world around us.
This course will teach you how to build robust linear models that will stand up to scrutiny when you apply them to real world situations.
Logistic regression: Logistic regression has many cool applications: analyzing consequences of past events, allocating resources, solving binary classification problems using machine learning and so on.
This course will help you understand the intuition behind logistic regression and how to solve it using cookie-cutter techniques.
Excel, R and Python: Put what you've learnt into practice.
Leverage these powerful analytical tools to build models for stock returns.
Pratap Dangeti ISBN 13: 9781788994989 Packt Course Length: 2 hours 10 minutes December 2017 Video Overview: Building various machine learning models using Python and R This video will teach you all it takes to perform the complex statistical computations required for Machine Learning.
You will gain information on statistics behind unsupervised learning, reinforcement learning, and more.
You'll master real-world examples that discuss the statistical side of Machine Learning.
In this video, you will acquire a deep knowledge of the various models of unsupervised and reinforcement learning, and explore the fundamentals of deep learning with the help of the Keras software.
Furthermore, you'll gain an overview of reinforcement learning with the Python programming language.
Tyler Edwards ISBN 13: 9781787286085 Packt Course Length: 1 hour 47 minutes December 2017 Video Overview: Learn and master the NLTK library in Python to create your own NLP apps You will start off by preparing text for Natural Language Processing by cleaning and simplifying it.
Then you will implement more complex algorithms to break this text down and uncover contextual relationships that reveal the meaning and content of the text.
You will learn how to tokenize various parts of sentences, and how to analyze them.
You will learn about semantic as well as the syntactic analysis of text.
During this course, you will learn how to solve various ambiguities in processing human language.
You will also gain experience with NLP using Python and will be introduced to a variety of useful tools in NLTK.
Plus, you will have an opportunity to build your first NLP application.
By the end of this course, you will have the skills and tools to begin solving problems in the growing field of Latent Semantic Analysis.
Ashish Kumar, Joseph Babcock ISBN 13: 9781788992367 Packt 660 Pages December 2017 Book Overview: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications This book is your guide to getting started with predictive analytics using Python.
You'll balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and.
Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications.
Covering a wide range of algorithms for classification, regression, clustering, as share myvegas blackjack tips and tricks think as cutting-edge techniques such as deep learning, this book illustrates explains how these methods work.
You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring to life the insights of predictive modeling.
PKS Prakash ISBN 13: 9781788995719 Packt Course Length: 2 hours 25 minutes December 2017 Video Overview: Step-by-step guide filled with real-world practical examples The video starts with a descriptive analysis to create insightful visualizations of internal structures such as trend, seasonality, and autocorrelation.
Next, the statistical methods of dealing with autocorrelation and non-stationary time series are described.
This is followed by exponential smoothing to produce meaningful insights from noisy time series data.
At this point, we shift the focus towards predictive analysis and introduce autoregressive models such as ARMA and ARIMA for time series forecasting.
Later, powerful deep learning methods are presented to develop accurate forecasting models for complex time series.
All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python.
Felipe Martins, Ruben Oliva Ramos, V Kishore Ayyadevara ISBN 13: 9781788291460 Packt 386 Pages December 2017 Book Overview: Tackle the most sophisticated problems associated with scientific computing and data manipulation using This book includes hands-on recipes for using the different components of the Stack such as, matplotlib, and pandas, among others.
You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more.
The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in Stack works, but also of its application to real-world problems.
The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of without reading through the other see more, thus making the book a very handy and useful guide.
Harish Garg ISBN 13: 9781788397599 Packt Course Length: 1 hours 45 minutes July 2017 Video Overview: Explore popular datasets in R, while mastering advanced techniques used for them In this course, you will learn how to start using pandas from end-to-end: from getting your data into pandas; using pandas to manipulate, transform, analyze, and visualize data; to ultimately taking your transformed data out of pandas into any number of formats.
Raúl Garreta, Guillermo Moncecchi, Trent Hauck, Gavin Hackeling ISBN 13: 9781788833479 Packt 530 Pages November 2017 Book Overview: Implement scikit-learn into every step of the data science pipeline The course combines an introduction to some of the main concepts and methods in machine learning with practical, hands-on examples of real-world problems.
The course starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables.
After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers.
Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.
Krishna Bhavsar, Naresh Kumar, Pratap Dangeti ISBN 13: 9781787289321 Packt 294 Pages November 2017 Book Overview: Learn the tricks and tips that will help you design Text Analytics solutions This book includes unique recipes that will teach you various aspects of performing Natural Language Processing with NLTK—the leading Python platform for the task.
You will come across various recipes during the course, covering among other topics natural language understanding, Natural Language Processing, and syntactic analysis.
You will learn how to understand language, plan sentences, and work around various ambiguities.
You will learn how to efficiently use NLTK and implement text classification, identify parts of speech, tag words, and more.
You will also learn how to analyze sentence structures and master lexical analysis, syntactic and semantic analysis, please click for source analysis, and the application of deep learning techniques.
By the end of this book, you will have all the knowledge you need to implement Python 3.7 blackjack Language Processing with Python.
Alvaro Fuentes ISBN 13: 9781788295321 Packt Course Length: 3 hours 44 minutes November 2017 Video Overview: Improve the performance predictive models, build more complex models and use techniques to improve quality of your predictive models.
Ensemble methods offer a powerful way to improve prediction accuracy by combining in a clever way predictions from many individual predictors.
In this course, you will learn how to use ensemble methods to improve accuracy in classification and regression problems.

T7766547
Bonus:
Free Spins
Players:
All
WR:
60 xB
Max cash out:
$ 500

I think the play_again function should revised, because deck is a global variable, the local deck in the function is superfluous def play_again():


Enjoy!
Best Python Courses: Choose The Best Online Course on BitDegree
Valid for casinos
chakefashion.com?v=yJz2at4Hco4
Visits
Dislikes
Comments

G66YY644
Bonus:
Free Spins
Players:
All
WR:
30 xB
Max cash out:
$ 200

In Blackjack the players is dealt a series of cards that have.... Python 3.7.2 (Please comment. Write a game of Blackjack that functions as follows :"


Enjoy!
Building Skills in Object-Oriented Design, V4 — Building Skills in Object-Oriented Design 4.1910 documentation
Valid for casinos
chakefashion.comor: <urlopen error unknown url type: https> – IDEs Support (IntelliJ Platform) | JetBrains
Visits
Dislikes
Comments
Building Skills in Object-Oriented Design, V4 — Building Skills in Object-Oriented Design 4.
Legal Notice This work is licensed under a.
You must give the original author, Steven F.
You may not use this work for commercial purposes.
You may not alter, python 3.7 blackjack, or build upon this work.
The first chapter will provide some foundations, talking about the problem domain, the solution, and some general ideas python 3.7 blackjack how the work will proceed.
The remaining chapters will provide specific guidance on setting up a working development environment, blackjack ganar siempre some basic unit tests, and starting visit web page the road to producing useful documentation.
These sections will set the stage for all of the work which follows.
Roulette Roulette is a stateless game with numerous bets and a very simple process for game play.
The chapters of this part present the details on the game, an python 3.7 blackjack of the solution, and a series of sixteen exercises to build a complete simulation of the game, plus a variety of betting strategies.
Each exercise chapter builds at least one class, plus unit tests; in some cases, this includes rework of previous deliverables.
Craps This part describes parts of the more complex game of Craps.
Craps is played with dice.
Craps is a game with two states and a number of state-change rules.
It has a variety betting alternatives, some of which are quite complex.
The chapters of this part presents the details on the game, an overview of the solution, and a series of eleven exercises to build a complete simulation of the game, with a variety of betting strategies.
The exercises in this part are more advanced; unlikewe will often combine several classes into a single batch of deliverables.
There are several examples of rework in this part, some of them quite extensive.
This kind of rework reflects three more advanced scenarios: refactoring to generalize and add features, renaming to rationalize the architecture, continue reading refactoring to extract features.
Blackjack This part describes the more complex game of Blackjack.
This game has a number of states and python 3.7 blackjack number of complex state-change rules.
While the betting rules are simple, the game play is more complex.
The chapters of this part presents the details on the game, an overview of the solution, and a series of six relatively complex exercises to build a complete simulation of the game.
Fit and Finish A finished application includes more than just a collection of packages.
This is a collection of exercises in using the standard library to create the final application.

CODE5637
Bonus:
Free Spins
Players:
All
WR:
60 xB
Max cash out:
$ 1000

Your Mission: Writing a Version of Blackjack. [llee: lab08] python blackjack.py. 3.7. Just for fun: play some blackjack! Open a command shell in the directory ...


Enjoy!
chakefashion.comor: <urlopen error unknown url type: https> – IDEs Support (IntelliJ Platform) | JetBrains
Valid for casinos
Best Python Courses: Choose The Best Online Course on BitDegree
Visits
Dislikes
Comments

B6655644
Bonus:
Free Spins
Players:
All
WR:
60 xB
Max cash out:
$ 500

Peter Griffin - The Theory of Blackjack - Free ebook download as PDF File (.pdf), Text. Generally considered the bible for serious blackjack players, Peter Griffin's classic work. -21.9 - 8.9 3.7 15.8 27.6 16.... Python Lottery documentation.


Enjoy!
Python/ django – Telegram
Valid for casinos
BibTeX bibliography chakefashion.com
Visits
Dislikes
Comments
Would you like to proceed to legacy Twitter?
We and our partners operate globally and use cookies, including for analytics, personalisation, and ads.
You always have the option to delete your Tweet location history.
Add this Tweet to your website by copying the code below.
Add this video to your website by copying the code below.
Include media By embedding Twitter content in your website or app, you are agreeing to the Twitter and.
Preview Country Code For customers of United States 40404 any Canada 21212 any United Kingdom 86444 Vodafone, Orange, 3, O2 Brazil 40404 Nextel, TIM Haiti 40404 Digicel, Voila Ireland python 3.7 blackjack Vodafone, O2 India 53000 Bharti Airtel, Videocon, Reliance Indonesia 89887 AXIS, 3, Telkomsel, Indosat, XL Axiata Italy 4880804 Wind 3424486444 Vodafone » Welcome home!
Tweets not working for you?
Hover over the profile pic and python 3.7 blackjack the Following button to unfollow any account.
Say a lot with a little When you see a Tweet you love, tap the heart https://chakefashion.com/blackjack/online-blackjack-dealer-school.html it lets the person who wrote it know you shared the love.
Tap the icon to send it instantly.
Join the conversation Add your thoughts about any Tweet with a Reply.
Follow Follow olemoritz Following Following olemoritz Unfollow Unfollow olemoritz Blocked Blocked olemoritz Unblock Unblock olemoritz Pending Pending follow request from olemoritz Cancel Cancel your follow request to olemoritz So here's the first beta of Pythonista 3.
The main new python 3.7 blackjack are a scriptable custom keyboard extension and support for Siri shortcuts.
More details here: — TestFlight: I taught Siri to play Blackjack, using Pythonista on my iPhone.
Still not sure how useful this feature will be, but it would also be kind of weird not to support this stuff in Pythonista coming soon as a free update.
This might change in a future beta, but hasn't been my focus so far, as 3.
Have you python 3.7 blackjack about supporting micropython, and interfacing and uploading code to micropython-devices similar to the Mu editor?
Or maybe it's better suited for a different app?
Will there be an update for the new iPads?
The beta should work just fine on the new iPads, so feel free more info check that out before buying.
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup.