Multithreading and Multiprocessing in 10 Minutes

Multitasking made easy with Python examples

Kay Jan Wong
Towards Data Science
4 min readMar 24, 2022

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Photo by Murray Campbell on Unsplash
Photo by Murray Campbell on Unsplash

Multithreading and multiprocessing are two ways to achieve multitasking (think distributed computing!) in Python. Multitasking is useful for running functions and code concurrently or in parallel, such as breaking down mathematical computation into multiple smaller parts, or splitting items in a for-loop if…

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Data Scientist, Machine Learning Engineer, Software Developer, Programmer | Someone who loves coding, and believes coding should make our lives easier