If you’re not sure if you want to use Python threading, asyncio, or multiprocessing, then you can check out Speed Up Your Python Program With Concurrency.Īll of the sources used in this tutorial are available to you in the Real Python GitHub repo. If you need a refresher, you can start with the Python Learning Paths and get up to speed. ![]() ![]() This article assumes you’ve got the Python basics down pat and that you’re using at least version 3.6 to run the examples. How to use the common tools that Python threading provides.How to create threads and wait for them to finish.If you’ve got some experience in Python and want to speed up your program using threads, then this tutorial is for you! Python threading allows you to have different parts of your program run concurrently and can simplify your design. ![]() ![]() Watch it together with the written tutorial to deepen your understanding: Threading in Python Watch Now This tutorial has a related video course created by the Real Python team.
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