How Python multiprocessing works In the above example, the concurrent.futures module provides high-level pool objects for running work in threads (ThreadPoolExecutor) and processes ...

The multiprocessing module spins up multiple copies of the Python interpreter, each on a separate core, and provides primitives for splitting tasks across cores.

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...