Concurrent and Parallel Programming in Python - Combining Async and Multiprocessing

The video tutorial explores combining multiprocessing and asynchronous programming in Python. It discusses the limitations of Python's Global Interpreter Lock (GIL) and how multiprocessing can help utilize full hardware capabilities. The tutorial defines a class that inherits from multiprocessing.Process to create separate processes, each running an asynchronous event loop. It demonstrates scheduling tasks using async sleep and run methods, and highlights the benefits of running multiple processes to improve concurrency and performance. The video also provides tips on optimizing task distribution and handling potential timeouts.

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