Python 3 - Second Edition

31.4    The Flexible Interface: threading and multiprocessing

Now you can use the concurrent.futures interface to parallelize simple tasks using both threads and processes. If the tasks become more complex, such as when data must be exchanged or certain operations need to be synchronized, you need additional tools. These are provided by the threading and multiprocessing modules described in the following sections.

31.4.1    Threads in Python: threading

The threading module provides an object-oriented interface for working with threads.

Each thread is an instance of a class that inherits from threading.Thread. Now say that you want to write a program that checks, in multiple threads in parallel, whether numbers entered by a user are prime numbers. ...