Python lets you parallelize workloads using threads, subprocesses, or both. Here's what you need to know about Python's thread and process pools and Python threads after Python 3.13.

The concurrent.futures module The concurrent.futures module is a well-kept secret in Python, but provides a uniquely simple way to implement threads and processes.

Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications.

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...

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 ...

One of my users is trying to track down a problem where his Python process keeps getting whacked by SIGTERM. Now, in theory, SIGTERM is reserved for user use and the OS (Red-Hattish Linux) shouldn ...

The idea of due process can be a difficult legal concept for a lot of non-lawyers. But you can get the basic idea from Monty Python's classic movie, Monty Python and the Holy Grail. You just need ...

Matt Wozniski and Pablo Galindo Salgado, two of the developers of PyStack, discuss the creation of this new open source debugging tool for Python apps.

The giant Burmese python has been known to consume large animals like a deer. But the length of time it can go between meals is impressive.