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 ...

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. Until recently, Python threads ...

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 the biggest changes to come to the Python world is the addition of the free-threading interpreter, which eliminates the global interpreter lock (GIL) that kept the interpreter thread-safe, but ...

Learn how to use asynchronous programming in Python 3.13 and higher. Get more done in less time, without waiting. Asynchronous programming, or async, is a feature of many modern languages that allows ...

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 processing ...

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 ...