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.

Python knows that I/O can take a long time, and so whenever a Python thread engages in I/O (that is, the screen, disk or network), it gives up control and hands use of the GIL over to a different ...

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 ...