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 "thread" function in "main.py" seeks to implement the basic behaviour of the Lisp threading macro in Python. The function takes a value as the initial parameter and then passes the value to a ...

Unlock concurrency with Python threads (and run 100s or 1,000s of tasks simultaneously). The threading module provides easy-to-use thread-based concurrency in Python. Unlike Python multiprocessing, ...

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 ...

And while you can use Python’s built-in threading module to speed things up, threading only gives you concurrency, not parallelism.

Microsoft is integrating Python into its Excel app. A public preview is available for Microsoft 365 subscribers now and all the Python code runs on the Microsoft Cloud.