Your Python cache can run the same work twice, even with the GIL. See the check-then-act race, the lru_cache gotcha, and how ...

LWN.net is a subscriber-supported publication; we rely on subscribers to keep the entire operation going. Please help out by buying a subscription and keeping LWN on the net. Parallelism comes down to ...

Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications. If you program in Python, you have most likely ...

It's been in the works for a while.

Python 3.13 has been released with a slight delay on the home straight. The new interactive shell aims to make development more convenient. In addition, the global interpreter lock can now be ...

Threads can provide concurrency, even if they're not truly parallel. In my last article, I took a short tour through the ways you can add concurrency to your programs. In this article, I focus on one ...

Powerful, flexible, and programmer-friendly, Python is widely used for everything from web development to machine learning. By the two most-cited measures, Python has even surpassed the likes of Java ...

When running multiple processes in parallel, one thing to be careful about is the handling of shared data.For example, ...

Python's support for multithreaded programs has improved considerably over the last few years with the advent of the "free-threaded" version of the language. But testing multithreaded programs is ...