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.

The threading module does have tools to make this possible, but it falls to the developer to use them—and they’re complex enough to deserve a separate article. Python coroutines and async ...

Whilst the concurrent.futures module offers a great way to get off the ground quickly, sometimes more control is needed over different threads, which is where the ubiquitous threading module comes in.

I explore the ways you can use threads in Python and the limitations the language puts upon you when doing so. The basic idea behind threading is a simple one: just as the computer can run more than ...

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...

Python is one of the most approachable languages to learn, thanks to its object-oriented-first approach and its minimal ...

Python apps can do a multithreading, but those threads can’t run across cores. It all happens on a single, solitary CPU, no matter how many CPUs exist in the system. Concurrency in Python. Python ...

Google's Python engineers have launched a new project called Unladen Swallow, which aims to bring a major performance boost to the Python programming language by making runtime speed five times ...

Devs unknowingly use “malicious” modules snuck into official Python repository Code packages available in PyPI contained modified installation scripts.