Basically, parallel computing allows you to carry out many calculations at the same time, thus reducing the amount of time it takes to run your program to completion.
I know, this sounds fairly vague and complicated somehow…but bear with me for the next 50 seconds or so.
Here’s an end-to-end example of parallel computing in Python 2/3, using only tools built into the Python standard library—
Ready? Go!
First, we need to do some setup work. We’ll import the collections and the...
Original Source
https://codango.com/python-parallel-computing-in-60-seconds-or-less/
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