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Your Python code isn't using all your CPU cores — and Threading won't fix it. In this short, I break down why Python's GIL blocks Threading for CPU tasks, and how Multiprocessing gives you real parallelism with Pool.map(). Threading is for I/O. Multiprocessing is for CPU. Know the difference. Follow for backend engineering concepts explained ...
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