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, ...

Imagine you’re building a script that downloads data from multiple websites. These downloads don’t require heavy processing but involve waiting for each website to respond, which can be slow. This ...

What started as a single article quickly expanded as I dived deeper into the intricacies of threading. Explaining key concepts thoroughly made the article longer than expected, so I’ve decided to ...

Concurrency indicates that two tasks progress simultaneously. For example, we need to order a pizza, and you have to write a story in Medium. The synchronous way is you call the pizza shop and wait on ...

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 ...

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 ...