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. Multithreading and parallel ...

Moore’s Law and Python’s flawed logic When language architects designed Python, they couldn’t conceive of a world where computers had more than one core. In the 1980s and 1990s, software engineers bet ...

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.

Conveniently, Python scaling issues for multi-core and many-core processors as well as distributed cluster and cloud computing environments have been addressed in many packages. Under the cover ...

A Python program that uses threading is typically a good candidate for using async. Threads in Python are cooperative; they yield to one another as needed. Async tasks in Python work the same way.