How can I use concurrent futures in Python?

How can I use concurrent futures in Python?

You can use the concurrent.futures module to run tasks in parallel using threads or processes. Would you like an example?

Yes, please provide an example of using ThreadPoolExecutor.

Sure! Here's a simple example:

from concurrent.futures import ThreadPoolExecutor

def task(n):
    return n * n

with ThreadPoolExecutor(max_workers=5) as executor:
    results = list(executor.map(task, range(10)))

print(results)

This will compute the squares of numbers from 0 to 9 in parallel.

What if I want to use ProcessPoolExecutor instead?

You can replace ThreadPoolExecutor with ProcessPoolExecutor in the same example. It works similarly but uses separate processes instead of threads.

Are there any limitations I should be aware of?

Yes, using ProcessPoolExecutor can have overhead due to inter-process communication, and it's not suitable for I/O-bound tasks. For those, prefer ThreadPoolExecutor.