Python + grep + awk + C + bash

The requirements of a language in the dynamic and uncertain world of research are peculiar. The best solution is often the one that works, the important thing is to have the answer to one question:"Is it a good path?"

But a solution is sensible only if it allows to cooperate with other people, both using someone else's code and being used by others.
Python is an excellent language to paste different parts but especially to give these parts a meaning when the prototype has to become a piece of code included in a workflow of more complex experiments.
In this track, starting from existing data and programs/code, we'll create a simple machine learning workflow, parallelizing (where it is elementary) and reusing (where is is useful) the existing code and the already obtained results.

pycon4 - Sat 08 may / 15:15 in the track Imparare Python.


Language
IT
Duration
45 minutes