June 23, 2022, 4:59 p.m. | Dylan Cunningham

Towards Data Science - Medium towardsdatascience.com

Utilizing multiprocessing is not complicated

The base multiprocessing class within Python is very useful. If you have ever needed jobs to run faster, maybe you have tried vectorizing and you have tested multiple methods for speed but you still wait too long, then continue reading. Multiprocessing your workload has many advantages. Warning though, multiprocessing is not always faster — you need the right use-cases to improve speed. Do not fret, I have a simple solution to make utilizing multiprocessing easier. …

aws framework multiprocessing python simplicity

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