Multiprocessing vs Threading Python

Here is a code snippet for multiprocessing in Python:

import multiprocessing

def worker(num):
    """thread worker function"""
    print(f'Worker: {num}')

jobs = []
for i in range(5):
    p = multiprocessing.Process(target=worker, args=(i,))
    jobs.append(p)
    p.start()

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And here is a code snippet for threading in Python:

import threading

def worker(num):
    """thread worker function"""
    print(f'Worker: {num}')

threads = []
for i in range(5):
    t = threading.Thread(target=worker, args=(i,))
    threads.append(t)
    t.start()

The main difference between the two is that multiprocessing creates separate processes for each function call, while threading creates threads within the same process. This means that multiprocessing allows for true parallelism on systems with multiple cores, while threading allows for concurrent execution on a single core.