This guide will give examples of both thread and process architectures. The concurrent.futures module is a well-kept secret in Python, but provides a uniquely simple way to implement threads and ...

And while you can use Python’s built-in threading module to speed things up, threading only gives you concurrency, not parallelism. It’s good for running multiple tasks that aren’t CPU ...

Installing Python 3.13’s free-threaded version ... If you build Cython modules with free-threading enabled, those context managers effectively get optimized out of the compiled code.

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...

I explore the ways you can use threads in Python and the limitations the language puts upon you when doing so. The basic idea behind threading is a simple one: just as the computer can run more than ...

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. Multithreading and parallel ...