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

Asyncio


Asyncio was introduced to the Python programming language in version 3.4 and added some excellent functionality and it has been an overall hit with the Python community.

Asyncio is a module that allows us to easily write single-threaded, concurrent programs utilizing coroutines, which we'll cover later on in this chapter. It also does a lot of other clever stuff such as multiplexing I/O access over sockets as well as other resources, and provides us with an array of synchronization primitives that allow us to write thread-safe programs with relative ease.

Within the module, we have a number of distinct concepts as follows:

  • The event loop
  • Futures
  • Coroutines
  • Tasks
  • Transports
  • Protocols

Each of these concepts serve their own distinct purpose that can be intertwined to create readable, highly-performant Python programs. We'll look at each of these concepts in more depth throughout the rest of this chapter.

The asyncio module features a wealth of different tools and classes for writing programs...