threading — Easy Playground

Thread-based parallelism: Thread, Lock, RLock, Semaphore, Event, Condition

Python Playground

import threading

results = []

def worker(n):
    results.append(n * n)

threads = [threading.Thread(target=worker, args=(i,)) for i in range(5)]
for t in threads: t.start()
for t in threads: t.join()
print(f"Results: {sorted(results)}")

Output

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The threading module is part of Python's standard library. Thread-based parallelism: Thread, Lock, RLock, Semaphore, Event, Condition.

Challenge

Try modifying the code above to explore different behaviors. Can you extend the example to handle a new use case?

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