Parallelization in Python: The Easy Way

Parallelization does not have to be difficult

Marcin Kozak
Towards Data Science
10 min readOct 26, 2022

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Parallelization in Python does not have to be difficult. Photo by Abbas Tehrani on Unsplash

Many beginners and intermediate Python developers are afraid of parallelization. To them, parallel code means difficult code. Processes, threads, greenlets, coroutines… Instead of ending up with performant code, work on parallelizing code often ends up in headaches and frustration.

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A full professor, interdisciplinary researcher, data scientist, statistician, Python, R and Go developer, open-source contributor — and a devoted writer