Whilst the concurrent.futures module offers a great way to get off the ground quickly, sometimes more control is needed over different threads, which is where the ubiquitous threading module comes in.

Python lets you parallelize workloads using threads, subprocesses, or both. Here's what you need to know about Python's thread and process pools and Python threads after Python 3.13.

Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications. If you program in Python, you have most ...

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, ...

Python can’t thread across cores. Python apps can do a multithreading, but those threads can’t run across cores. It all happens on a single, solitary CPU, no matter how many CPUs exist in the system.

reading further, it’s got near seamless integration with C++ modules, woot! I spent a big chunk of the last few years writing complex python bindings for c++ modules. Dammit I think I’m in love.