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Python concurrency explained: use async for I/O-bound waiting, threads for blocking I/O, and multiprocessing for CPU-bound work ...

CHAPTERS: ║ 0:00 Hook — '4 hours loading one file at a time' ║ 0:45 Why concurrency matters (4 situations) ║ 2:10 The GIL ...

Three tools that all promise to make your Python code faster -- threading, multiprocessing, and asyncio -- and they are NOT ...