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How-To: 4 Essential Parts of Multiprocessing in Python

Effective Python

Figure 1. Process, Lock, Queue, and Pool are vital to understanding the Multiprocessing Python Package. After finishing the blog, understanding those above will enable coders to leverage parallel processing in their source code and understand the usage when used in others' code.

After many requests, some planning, and getting the time to deliver a practical summary — I am pleased to share a guide that will allow you to start using parallel processing in your Python code!

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