The multiprocessing module provides process-based concurrency in Python and few developers know about it, let alone, how to use it well.
The main reason is because it is widely thought that Python does not fully support concurrency.
This is false.
In fact, processes provide the best path to full parallelism in Python for CPU-bound tasks.
* Do you know how to start a new process? * Do you know how to use mutex locks with Python processes? * Do you know how to use a manager or a pool?
Discover 180+ interview questions on Python multiprocessing.
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Jason Brownlee, Ph.D. trained and worked as a research scientist and software engineer for many years (e.g. enterprise, R&D, and scientific computing), and is known online for his work on Computational Intelligence (e.g. Clever Algorithms), Machine Learning and Deep Learning (e.g. Machine Learning Mastery, sold in 2021) and Python Concurrency (e.g. Super Fast Python).