Free-threaded Python is now officially supported, though using it remains optional. Here are four tips for developers getting ...

Learn how to use Python's threading module for concurrent programming, and how to create, manage, and synchronize threads in your code.

As this post has mentioned a few times, it is accompanied by a recently published tutorial on how to use Python asyncio, which we encourage anyone interested in using the technology to read.

We think it’s awesome that Python manages to keep the same syntax between the threading and multiprocessing modules, when the action taking place under the hood is so different.

Ruby and Python's standard implementations make use of a Global Interpreter Lock. Justin James explains the major advantages and downsides of the GIL mechanism.

A proposal under consideration by Python’s development team would finally bring pattern matching statements to the language.

This tutorial provides a complete overview of what is concurrency (and parallelism) and how to create concurrent programs using multithreading and multiprocessing with Python. I'm also focused on ...

Multiprocessing and Threading in Python Python’s multiprocessing module allows for the creation of processes, enabling parallel execution of code. The threading module, on the other hand, allows for ...