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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.


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