Concurrency can be notoriously difficult to get right, but fortunately, the Python programming language makes working with concurrency tractable and easy. This book shows how Python can be used to program high-performance, robust, concurrent programs with its unique form of programming.
Designed for any curious developer with an interest in building fast, non-blocking, and resource-thrifty systems applications, this book will cover the best practices and patterns to help you incorporate concurrency into your systems. Additionally, emerging topics in Python concurrent programming will be discussed, including the new AsyncIO syntax, the widely accepted view that "locks don't lock anything," the use of atomic message queues, concurrent application architecture, and best practices.
We will tackle complex concurrency concepts and models via hands-on and engaging code examples. Having read this book, you will have gained a deep understanding of the principal components in the Python concurrency ecosystem, as well as a practical appreciation of different approaches to a real-life concurrency problem.
