The ability to execute code in parallel is crucial in a wide variety of scenarios. Concurrent programming is a key asset for web servers, producer/consumer models, batch number-crunching and pretty ...

It's been in the works for a while.

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 adds ...

It is obvious that global variable are always shared and in most cases this isn’t a problem. However, suppose you have some existing code that makes use of a global variable to store its state and we ...

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 ...

Once you know how to add and use a Python module, you will greatly extend the capabilities of the language. A Python module is an external class or set of functions that exist outside the main file of ...

If you have a set of CPU-bound Python threads then the GIL determines that only one thread is running at any given time and there is no potential speedup. If you want to speed up a program using ...