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Getting Around the GIL - Parallelizing Python for Better Performance

PyCon US via YouTube

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This talk explains how Python's Global Interpreter Lock can limit CPU-bound code and presents several ways to parallelize programs. It focuses on speeding up data processing pipelines and other CPU-bound workloads.

Syllabus

Talks - Alireza Farhidzadeh: Getting Around the GIL: Parallelizing Python for Better Performance

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PyCon US

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