It's been in the works for a while.

Python already has several ways to run programs concurrently — including asynchronous functions, threads, subinterpreters, and multiprocessing — but all of those options have drawbacks of one kind or ...

There’s more than one way to work with threads, or without them, in Python. In this edition of the Python Report: Get the skinny on Python threads and subprocesses, use Python’s native async library ...

Probably the biggest change for Python over the last five years or so is the advent of the "free-threaded" version of the language, which removes the global interpreter lock (GIL) and allows multiple ...