The Python Threading Paradox

multithreading Gil Parallel computing performance Concurrency Programming languages Optimization Backend development Sarcasm

Python Programming Debugging Backend

10 months ago 241,468 views 1 shares

The Python Threading Paradox

python-memes, multithreading-memes, gil-memes, parallel-computing-memes, performance-memes | ProgrammerHumor.io

The Python GIL strikes again! Python's Global Interpreter Lock is like that one coworker who insists they're a "team player" but refuses to let anyone else touch their code. Sure, Python has threads, but they're essentially taking turns using the CPU instead of running simultaneously—like standing in line at the coffee machine instead of everyone making their own coffee. The sarcastic "that's really the most important part" is pure chef's kiss for any developer who's watched their multi-threaded Python program run barely faster than the single-threaded version. For serious parallelism, you'll need multiprocessing or asyncio, because Python threads are just playing pretend!

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