python-parallelism

Use when implementing concurrent or parallel Python code — asyncio, multiprocessing, threading, concurrent.futures, task queues (Celery), or data processing parallelism (Polars, Dask). Covers the GIL-free Python transition, decision frameworks for choosing the right approach, and production patterns.

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