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Python Concurrency with asyncio

Published by Manning
Distributed by Simon & Schuster

Python Concurrency with asyncio teaches you how to boost Python's performance by applying a variety of concurrency techniques.

Learn how to speed up slow Python code with concurrent programming and the cutting-edge asyncio library. Python Concurrency with asyncio teaches you to write concurrent Python code that will boost the speed of your apps and APIs.

Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio teaches you how to boost Python's performance by applying a variety of concurrency techniques. You'll learn how the complex-but-powerful asyncio library can achieve concurrency with just a single thread and use asyncio's APIs to run multiple web requests and database queries simultaneously. The book covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Matthew Fowler has over 15 years of software engineering experience in roles from architect to engineering director. He has worked on Python codebases in the machine learning space, as well as led development of a Python-based ecommerce site with tens of millions of users.