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… ...

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.

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.

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 ...

PyApp seems to be taking the Python world by storm, providing long-awaited click-and-run Python distribution. For developers who need a little more versatility, there’s uv. Find these tools and more ...

The existing tutorials were generally overly simplistic, and often made use of the older Python 3.5 syntax, adding to the confusion.