Scientific Python Tools for Non-Scientific Uses

Python is an amazing programming language that is used by many different
communities. Dev-ops, web programmers, sys admins, database programmers
as well as scientists and engineers from many different fields use it daily.
But often members of one sub-community might not be familiar with the
libraries and tools another sub-community uses. Even these libraries are
originally designed for total different purposes, they can be useful for
unintended usages.

This talk introduces two very use popular scientific Python tools, the Jupyter
Notebook for fast, exploratory Python programming and pandas, the amazingly
useful data analyses library. Both libraries could be called killer apps in
their fields. Come and see what they can offer and how they can simplify your
daily web-programming tasks.

Mike Müller

Using Python since 1999, trainer and CEO at Python Academy. The chairman of Python Software Verband, a PSF Fellow, a PSF community service award holder and a User Group co-founder.

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