When diving into Python, you'll encounter different ways to handle tasks that can run simultaneously. Understanding the differences between threading and asynchronous (async) programming is ...

In Python, the threading module lets you create and manage threads. Each thread can execute code independently, which is useful for CPU-bound tasks that require parallel computation.

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 ...

Python 3.13 introduced the “no-GIL” build (and lots more) In the biggest news of the year, the core Python development team took a major step toward overcoming one of Python’s longstanding ...