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. By default, ...

The Python team has released version 3.14, with big new features including free threading support, the ability to use ...

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 ...

I'm rather new to Python and I'm trying to solve a small problem with Threads. This might be "oh that's easy, it's simple_method()", or it could be a "sorry, that's totally impossible", I'm not sure.

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 ...

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 ...

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 ...

In this special guest feature, Rob Farber writes that Intel’s High Performance Python distribution offers a significant boost to applications performance, even without code changes. Intel recently ...

One of the biggest and most exciting new features in Python 3.15 is the new statistical sampling profiler. This is a massive change that’s going to make a lot of developers' liv ...

Community driven content discussing all aspects of software development from DevOps to design patterns. When language architects designed Python, they couldn’t conceive of a world where computers had ...