The video tutorial explores the use of multiprocessing in Python, highlighting its similarities to threading. It discusses optimization strategies, particularly in handling network IO, and introduces the concept of a processing pool for simple tasks. The tutorial explains how to initialize and use the pool class, including the map method, and emphasizes adapting multiprocessing to the machine's capabilities using CPU count. The goal is to efficiently distribute work across available CPUs without extensive refactoring.

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