# Python ThreadPool Jump-Start ![Python ThreadPool Jump-Start](cover.png) * This repository provides all source code for the book: * **Python ThreadPool Jump-Start**: _Run Your IO-Bound Functions Concurrently 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/ptpj) * [SuperFastPython](https://superfastpython.com/python-threadpool-jump-start/) * [Amazon Kindle](https://amzn.to/3PgD0JV) * [Amazon Paperback](https://amzn.to/3Pj4ZIH) * [Goodreads](https://www.goodreads.com/book/show/61922939-python-threadpool-jump-start) * [Google Books](https://books.google.com/books/about?id=43iAEAAAQBAJ) * [Google Play](https://play.google.com/store/books/details?id=43iAEAAAQBAJ) ### Book Blurb > How much faster could your Python code run (if you used 100s of threads)? > > The ThreadPool class provides easy-to-use thread-based concurrency 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 ThreadPool 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 ThreadPool. > > Each of the 7 lessons was carefully designed to teach one critical aspect of the ThreadPool, 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.