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Multiprocessing with python
This document provides an overview of concurrency in Python using multiprocessing and threading. It begins by introducing the speaker and defining key terms like concurrency, threads, and processes. It then discusses the benefits and use cases of threads versus processes. The document also covers the Global Interpreter Lock (GIL) in Python and how multiprocessing can help avoid it. It provides an example benchmark showing multiprocessing can significantly outperform threading for CPU-bound tasks. Finally, it discusses key aspects of Python's multiprocessing module like Process, Queue, Pool, and Manager classes.
