Python Threading Jump-Start: Develop Concurrent IO-bound Programs And Work With The GIL (Python Concurrency Jump-Start Series)

Unlock concurrency with Python threads
(and run 100s or 1,000s of tasks simultaneously).

The threading module provides easy-to-use thread-based concurrency in Python. Unlike Python multiprocessing, the threading module is limited by the infamous Global Interpreter Lock (GIL).

Critically, the GIL is released when performing blocking I/O. Additionally, threads can share memory making them perfectly suited to I/O-bound tasks such as reading and writing from files and socket connections.

This is the API you need to use to make your code run faster.

Introducing: Python Threading Jump-Start . A new book designed to teach you the threading module in Python, super fast!

You will get a rapid-paced, 7-part course to get you started and make you awesome at using the threading API.

Each of the 7 lessons was carefully designed to teach one critical aspect of the threading module, with explanations, code snippets, and worked examples.

You will discover: How to choose tasks that are well suited to threads. How to create and run new threads. How to locate and query running threads. How to use locks, semaphores, barriers, and more. How to share data between threads using queues. How to execute ad hoc tasks with reusable worker threads. How to gracefully stop and forcefully kill threads.
Each lesson ends with an exercise for you to complete to confirm you understand the topic, a summary of what was learned, and links for further reading if you want to go deeper.

Stop copy-pasting code from StackOverflow answers.

Learn Python concurrency correctly, step-by-step.