Book Image

Learning Concurrency in Python

By : Elliot Forbes
Book Image

Learning Concurrency in Python

By: Elliot Forbes

Overview of this book

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.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Summary


In this chapter, we've delved deep into the workings of Python's native threading library. We've looked in depth at how we can effectively work with threads at a very granular level, and take full advantage of everything that the Python threading API has to offer.

We've looked at the numerous different thread types, and how they compare to each other. Not only that, but we've looked in detail at various concepts such as the multithreading model, and the numerous ways in which we can make user threads to their lower level siblings, the kernel threads.

In the next chapter, we'll dive into some of the key concurrency primitives that Python has on offer. Understanding these primitives will pave the way for us when it comes to making thread-safe programs that we can confidently push into production environments.