# Python ThreadPoolExecutor Jump-Start

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

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

This repository provides all source code for the book:

* **Python ThreadPoolExecutor Jump-Start**: _Execute IO-Bound Tasks Asynchronously With Modern Thread Pools_, 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/ptpej)
* [Amazon Kindle](https://amzn.to/3JRBblq)
* [Amazon Paperback](https://amzn.to/3zUGgF9)
* [Google Play](https://play.google.com/store/books/details?id=xAOBEAAAQBAJ)
* [Google Books](https://books.google.com/books/about?id=xAOBEAAAQBAJ)
* [Goodreads](https://www.goodreads.com/book/show/61951717-python-threadpoolexecutor-jump-start)

### Book Blurb

> How much faster could your Python code run (if you used 100s of thread workers)?
>
> The ThreadPoolExecutor class provides modern thread pools for IO-bound tasks.
>
> 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 make your code run faster.
>
> There's just one problem. No one knows about it (or how to use it well).
>
> Introducing: "Python ThreadPoolExecutor Jump-Start". A new book designed to teach you thread pools in Python, super fast!
>
> You will get a rapid-paced, 7-part course to get you started and make you awesome at using the ThreadPoolExecutor.
>
> Including:
>
> * How to create thread pools and when to use them.
> * How to configure thread pools including the number of threads.
> * How to execute tasks with worker threads and handle for results.
> * How to execute tasks in the thread pool asynchronously.
> * How to query and get results from handles on asynchronous tasks called futures.
> * How to wait on and manage diverse collections of asynchronous tasks.
> * How to develop a concurrent website status checker that is 5x faster than the sequential version.
>
> Each of the 7 lessons was carefully designed to teach one critical aspect of the ThreadPoolExecutor, 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 StackOverflow answers.
>
> Learn Python concurrency correctly, step-by-step.