while calculating several large fibonacci numbers at a time. Since each process handles this individually, the server won't be held up since it is using all the CPUs, without being held back by Python ...

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 ...

Still, we hadn't yet come across a killer feature which we could only use in Python 3.6 to make us finally drop support for Python 2.7. Asyncio, which is not available at all in Python 2.7, became ...

There’s more than one way to thread (or not to thread) a Python program. We point you to several threading resources, a fast new static type checker from Astral, a monkey patch for Pandas that ...

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