Press "Enter" to skip to content

Multithreading and Multiprocessing in Python

Jessica Wachtel explains how two systems work in Python:

Let’s use a simple example to understand them: a mechanics shop. Concurrency happens when one mechanic works on several cars by switching between them. For example, the mechanic changes the oil in one car while waiting for a part for another. They don’t finish one car before starting the next, but they can’t do two tasks at exactly the same time. The tasks overlap in time but don’t happen simultaneously.

Click through for the analogy, how it applies to Python, and tips and tricks around each.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.