Category: Coding

In the first part of this series we saw the differences between multiprocessing and multithreading in Python. Although we saw some examples there, I think it deserves some practical view on how it can be used on a real data science project.

Python is often regarded as an almost obscene programming language. A libertarian place where everything is permitted and our wildest dreams come true. Forget about labels and definitions, and, above all, brackets. It is a language that welcomes everyone, from the most experienced programmer (that weird guy that still uses Fortran for some reason you…