It’s good for running multiple tasks that aren’t CPU-dependent, but does nothing to speed up multiple tasks that each require a full CPU. ... The best parallel processing libraries for Python.

That means multiple Python processes can run in parallel on separate hardware cores. The tradeoff is that a Python process takes longer to spin up than a Python thread, and any data interchange ...

Multithreaded Python applications don’t perform true parallel computing. Instead, they just create the illusion of parallelism. To achieve this, Python schedules a thread to run for a few CPU cycles, ...