We’ll walk through the difference between threads and processes in a Python context, before reviewing some of the different approaches you can take and what they’re best suited for. ( Python 3 ...

In the realm of Python software development, two common approaches for managing concurrent operations are threading and asynchronous (async) programming. Both methods allow you to perform multiple ...

Python knows that I/O can take a long time, and so whenever a Python thread engages in I/O (that is, the screen, disk or network), it gives up control and hands use of the GIL over to a different ...

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 ...

Python versions from 3.13 forward feature an experimental interpreter that allows Python threads to run with full concurrency, in the same way that multiprocessing does, but without ...

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.