What is Python's multiprocessing architecture?

What is Python's multiprocessing architecture?

Python's multiprocessing architecture allows for the concurrent execution of processes, enabling better CPU utilization.

How does it differ from threading in Python?

Unlike threading, which runs in a single process and can be limited by the Global Interpreter Lock (GIL), multiprocessing creates separate memory spaces for each process.

Can you give me an example of how to use it?

Sure! You can use the multiprocessing module to create a pool of workers. Here's a simple example:

from multiprocessing import Pool

def square(x):
    return x * x

if __name__ == '__main__':
    with Pool(5) as p:
        print(p.map(square, [1, 2, 3, 4, 5]))

What are some common use cases for multiprocessing?

Common use cases include data processing, web scraping, and any CPU-bound tasks that can benefit from parallel execution.