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.

Python provides mechanisms for both concurrency and parallelism, each with its own syntax and use cases. For concurrency, Python offers two different mechanisms which share many common components.

Well, Python provides threading. Many people think of Python's threads as fatally flawed, because only one thread actually can execute at a time, thanks to the GIL (global interpreter lock). This is ...

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.