Introduction to the SciPy stack and Jupyter Notebooks

by Manuel Giffels (KIT) and Uğur Çayoğlu (KIT) available at https://indico.scc.kit.edu/event/427/contributions/4268/.

Skills you will gain Software prototyping Reuse data from existing sources Math and statistical knowledge application Creative problem solving, flexibility Data transformation and integration Predictive modelling and analytics Visualisation and presentation of results Use or develop open research tools/services

Description

Python provides a rich ecosystem of open-source software for mathematics, science, and engineering. This tutorial will introduce you to the fundamental packages of the SciPy stack. You will learn how-to: perform fast numerical calculations in N dimensions using NumPy, analyze your data using Pandas, and visualize the results using Matplotlib. The exercises will be performed in the Jupyter Notebook environment, which you can access through your web browser. You will need a tablet or a laptop and basic knowledge of the Python programming language.

Keywords python scipy jupyter numpy pandas matplotlib