This repository provides all source code for the book:
- Python Multiprocessing Pool Jump-Start: Run Your Python Functions In Parallel With Just A Few Lines Of Code, Jason Brownlee, 2022.
You can access all Python .py files directly here:
You can learn more about the book here:
How much faster could your python code run (if it used all CPU cores)?
The multiprocessing.Pool class provides easy-to-use process-based concurrency.
This is not some random third-party library, this is a class provided in the Python standard library (already installed on your system).
This is the class you need to use to make your code run faster.
There's just one problem. No one knows about it (or how to use it well).
Introducing: "Python Multiprocessing Pool Jump-Start". A new book designed to teach you multiprocessing pools in Python, super fast!
You will get a fast-paced, 7-part course to get you started and make you awesome at using the multiprocessing pool.
Each of the 7 lessons was carefully designed to teach one critical aspect of the multiprocessing pool, with explanations, code snippets and worked examples.
Each lesson ends with an exercise for you to complete to confirm you understood the topic, a summary of what was learned, and links for further reading if you want to go deeper.
Stop copy-pasting code from outdated StackOverflow answers.
Learn Python concurrency correctly, step-by-step.