How can I improve performance in Python using multiprocessing?

How can I improve performance in Python using multiprocessing?

You can use the multiprocessing module to run tasks in parallel, which can significantly speed up CPU-bound operations.

Can you give me a simple example of using multiprocessing?

Sure! Here's a basic example:

import multiprocessing

def square(n):
    return n * n

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

What are the limitations of using multiprocessing?

Some limitations include increased memory usage, complexity in debugging, and potential overhead from inter-process communication.

Are there alternatives to multiprocessing for improving performance?

Yes, you can also consider using threading for I/O-bound tasks or libraries like concurrent.futures for a higher-level interface.