Parallelization in Python: The Easy Way

Parallelization does not have to be difficult

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.

In this article, I want to show that this does not have to be the case. In simple scenarios, …

data science easy multiprocessing parallel-computing parallelization python python-programming