# A brief introduction to some of the scientific computing used in this course. In particular the NumPy scientific computing package and its use with python ...

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Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

This repository contains all the files (slides, source code & data) used in the first two days of the Scientific Python Course at TU Braunschweig. Here you can find the material of the 3rd day which ...

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