An introduction to parallel programming using Python's multiprocessing module
Read OriginalThis article introduces parallel programming in Python using the multiprocessing module. It explains the limitations of the Global Interpreter Lock (GIL) and contrasts multi-threading with multi-processing. The tutorial covers the Process and Pool classes, demonstrates how to retrieve results, and includes a practical benchmarking example using kernel density estimation.
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