multithreading_vs_multiprocessing.py

# ============================================
# Python Concurrency Playground
# Demonstrates:
# 1. Multiprocessing
# 2. Multithreading
#
# Goal: Simulate I/O-bound and CPU-bound tasks
#       and see how concurrency improves performance.
# ============================================

import threading
import multiprocessing
import time

# A simple function that simulates a time-consuming task
def task(name):
    print(f"{name} started")
    time.sleep(2)
    print(f"{name} finished")

# Multithreading example
def run_multithreading():
    print("\n--- Multithreading Example ---")
    threads = []
    for i in range(3):
        t = threading.Thread(target=task, args=(f"Thread-{i+1}",))
        threads.append(t)
        t.start()
    for t in threads:
        t.join()

# Multiprocessing example
def run_multiprocessing():
    print("\n--- Multiprocessing Example ---")
    processes = []
    for i in range(3):
        p = multiprocessing.Process(target=task, args=(f"Process-{i+1}",))
        processes.append(p)
        p.start()
    for p in processes:
        p.join()

if __name__ == "__main__":
    start = time.time()
    run_multithreading()
    print(f"Multithreading took {time.time() - start:.2f} seconds")

    start = time.time()
    run_multiprocessing()
    print(f"Multiprocessing took {time.time() - start:.2f} seconds")