Threading allows multiple threads of execution to run concurrently within a single program, enabling more efficient use of system resources and improved performance for I/O-bound and certain computational tasks. The Thread Creation example demonstrates the basics of creating and managing threads in Python.

The threading module provides a higher-level interface for working with threads in Python. Use it to run multiple operations concurrently, synchronize threads with locks, or coordinate thread execution. Synchronization primitive for multiple threads. Semaphore with upper limit check. Condition variable for thread synchronization.

Notice that the main thread finished before the number thread printed all its numbers. This is because threads run independently, and by default, the Python program will exit when the main thread finishes, even if other threads are still running. In the next step, you will learn how to wait for a thread to complete using the join() method.

The task thread checks the event which is discovered to be set (e.g, True). The thread breaks the task loop, reports a final message then terminates the new thread. The main thread then terminates, closing the Python process. Worker thread running... Worker thread running... You can learn more about stopping a thread in this tutorial: