Learning Concurrency in Python

About This Book
Build highly efficient, robust, and concurrent applications
Work through practical examples that will help you address the challenges of writing concurrent code
Improve the overall speed of execution in multiprocessor and multicore systems and keep them highly available
Who This Book Is For
This book is for Python developers who would like to get started with concurrent programming. Readers are expected to have a working knowledge of the Python language, as this book will build on these fundamentals concepts.
What You Will Learn
Explore the concept of threading and multiprocessing in Python
Understand concurrency with threads
Manage exceptions in child threads
Handle the hardest part in a concurrent system - shared resources
Build concurrent systems with Communicating Sequential Processes (CSP)
Maintain all concurrent systems and master them
Apply reactive programming to build concurrent systems
Use GPU to solve specific problems
In Detail
Python is a very high level, general purpose language that is utilized heavily in fields such as data science and research, as well as being one of the top choices for general purpose programming for programmers around the world. It features a wide number of powerful, high and low-level libraries and frameworks that complement its delightful syntax and enable Python programmers to create.
This book 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 book 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 book, you'll have learned the techniques to write incredibly efficient concurrent systems that follow best practices.
Style and approach
This easy-to-follow guide teaches you new practices and techniques to optimize your code, and then moves toward more advanced ways to effectively write efficient Python code. Small and simple practical examples will help you test the concepts yourself, and you will be able to easily adapt them for any application.

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