What is your experience with multi-process data processing or tasks?

I have experience with multiprocessing in Python using the multiprocessing module. For example, I have created process pools for parallel processing of large data volumes, which significantly sped up task execution.

A simple usage example:

import multiprocessing

def worker(num):
    return num * num

if __name__ == '__main__':
    with multiprocessing.Pool(processes=4) as pool:
        results = pool.map(worker, range(10))
    print(results)

I am also familiar with tools like concurrent.futures.ProcessPoolExecutor for more convenient process management.

This approach helps efficiently utilize CPU resources when processing independent tasks.