Share your experience with multithreading and parallel task execution

In Python, for multithreading, I usually use the threading module when tasks involve input/output, such as network requests or file reading. For compute-intensive tasks, I use the multiprocessing module to bypass the GIL limitation and parallelize work across multiple processes.

Here's an example using threading for running multiple functions in parallel:

import threading

def task(name):
    print(f"Task {name} started")
    # simulate work
    import time
    time.sleep(2)
    print(f"Task {name} completed")

threads = []
for i in range(3):
    t = threading.Thread(target=task, args=(i,))
    threads.append(t)
    t.start()

for t in threads:
    t.join()

I also used concurrent.futures for convenient management of thread or process pools, which simplifies writing parallel code and handling results.