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Threading, multiprocessing, asyncio, coroutines, `async`/`await`, the GIL, and concurrency vs parallelism

Threads are useful for I/O-bound concurrency, multiprocessing is better for CPU-bound parallel work in CPython, and `asyncio` organizes cooperative I/O with coroutines and `async`/`await`.

Python Hard Theory

Threading, multiprocessing, asyncio, coroutines, `async`/`await`, the GIL, and concurrency vs parallelism

Threads are useful for I/O-bound concurrency, multiprocessing is better for CPU-bound parallel work in CPython, and `asyncio` organizes cooperative I/O with coroutines and `async`/`await`.

  • GIL limits parallel bytecode execution in threads
  • Asyncio is concurrency, not magic parallelism
  • Choose the model based on the workload

Threading, multiprocessing, asyncio, coroutines, `async`/`await`, the GIL, and concurrency vs parallelism