How can I use ProcessPoolExecutor in Python?

How can I use ProcessPoolExecutor in Python?

You can use ProcessPoolExecutor from the concurrent.futures module to run tasks in parallel. It allows you to manage a pool of processes.

Can you show me a simple example of how to implement it?

Sure! Here's a basic example:

from concurrent.futures import ProcessPoolExecutor

def square(n):
    return n * n

with ProcessPoolExecutor() as executor:
    results = list(executor.map(square, range(10)))
print(results)

What are the advantages of using ProcessPoolExecutor over threading?

ProcessPoolExecutor is better for CPU-bound tasks because it uses separate memory spaces for each process, avoiding the Global Interpreter Lock (GIL) that can limit threading performance.

Are there any limitations I should be aware of?

Yes, some limitations include higher overhead for starting processes compared to threads and the need to serialize data when passing between processes.