# Python Multiprocessing Pool Jump-Start

![Python Multiprocessing Pool Jump-Start](cover.png)

* <https://github.com/SuperFastPython/PythonMultiprocessingPoolJumpStart>

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.


## Source Code
You can access all Python .py files directly here:

* [src/](src/)

## Get the Book

You can learn more about the book here:

* [Gumroad](https://superfastpython.gumroad.com/l/pmpj)
* [Amazon](https://www.amazon.com/dp/B0B6YSF8XQ)
* [GooglePlay](https://play.google.com/store/books/details?id=in58EAAAQBAJ)
* [GoogleBooks](http://books.google.com/books/about?id=in58EAAAQBAJ)
* [Goodreads](https://www.goodreads.com/book/show/61606103-python-multiprocessing-pool-jump-start)

### Book Blurb

> 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 Stop copy-pasting code from outdated StackOverflow answers.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.