Learning Concurrency in Python

Practically and deeply understand concurrency in Python to write efficient

programs 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.