What is the difference between concurrent.futures.ProcessPoolExecutor and ThreadPoolExecutor for CPU-bound tasks?

Python Professional Hard

Python Professional — Hard

What is the difference between concurrent.futures.ProcessPoolExecutor and ThreadPoolExecutor for CPU-bound tasks?

Key points

  • ProcessPoolExecutor enables true CPU parallelism by using separate processes
  • ThreadPoolExecutor restricts Python bytecode execution to one thread due to GIL sharing
  • ProcessPoolExecutor is preferred for CPU-bound tasks due to its parallelism

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