Year: 2018

Intermediate Python Programming Course
https://www.youtube.com/watch?v=HGOBQPFzWKo&feature=youtu.be

Until version 3.13 (https://www.pixelsham.com/2024/08/13/gil-to-become-optional-in-python-3-13/), Python is multiprocessing but not multi-threaded, due to its native memory management limitations.
When multiple threads are engaged, there is no protection to memory access and racing conditions occurs.

You can work around this by using Jython or IronPython.
Or by using Python as a wrapper to call to c/c++ native code, same as numpy or scipy do.

Charts and details in the post