How does Python handle concurrency and parallelism?

The question is about Python

Answer:

Concurrency in Python can be achieved through threading, multiprocessing, and asynchronous programming. Python might be restricted to CPU-bound concurrency tasks with the presence of GIL, but a developer could use the ‘multiprocessing’ module to actually do parallel execution running separate processes. Regarding I/O-bound tasks, Python allows using its asyncio library for asynchronous programming whereby concurrent operations can be handled effectively without blocking the main program flow.

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