Python

How does Python manage concurrency and parallelism?

The question is about Python .

Answer:

Python manages concurrency through threading, multiprocessing, and asynchronous programming. The GIL can slow down CPU-bound tasks, but you can use multiprocessing to run tasks in separate processes for true parallelism. For I/O-bound tasks, asyncio helps execute many operations concurrently without blocking the main program.

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