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 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 ...

We’ll walk through the difference between threads and processes in a Python context, before reviewing some of the different approaches you can take and what they’re best suited for.

a version of Python that allows full concurrency, or multi-threading, by removing the Global Interpreter Lock. Whether you call it “free-threaded” or “no-GIL” Python, the result is the ...

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 ...

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, ...

Guided by this logic, Python inventor Guido van Rossum architected all of Python’s multithreading capabilities around the fatally flawed assumption that computers of the future would have only a ...