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Introduction

Welcome to this Python tutorial for Data Science in Visual Analytics. This tutorial is based on a tutorial given by Stéfan van der Walt (@stefanvdwalt) at VIS 2015.

This tutorial is hosted on GitHub: http://github.com/sgratzl/ipython-tutorial-VA2015 and deployed at http://mybinder.org/repo/sgratzl/ipython-tutorial-VA2015

We will cover the following topics in roughly 1.5 hours.

  1. Getting Started
  2. Data Manipulation with Numpy and Pandas
  3. (Interactive) Plotting using Matplotlib and Seaborn
  4. Machine Learning using Scikit Learn: Clustering, Decision Tree, and MDS

Content source: sgratzl/ipython-tutorial-VA2015

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