multiprocessing

The multiprocessing module allows true parallelism by creating separate processes, each with its own memory space. This is useful for CPU-intensive tasks like image processing or scientific computing.

Example: Running Multiple Processes

import multiprocessing
import os
 
def worker():
    print(f"Process ID: {os.getpid()}")
 
if __name__ == "__main__":
    processes = []
    for _ in range(3):
        p = multiprocessing.Process(target=worker)
        p.start()
        processes.append(p)
 
    for p in processes:
        p.join()

Each process runs independently and leverages multiple CPU cores for true parallel execution.