Sebastian Raschka • 6/20/2014

An introduction to parallel programming using Python's multiprocessing module

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This 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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#Python #performance #Multiprocessing
An introduction to parallel programming using Python's multiprocessing module

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