https://github.com/jakevdp/osloworkshop2014

Material for my lectures at the University of Oslo, Dec 2014
https://github.com/jakevdp/osloworkshop2014

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Material for my lectures at the University of Oslo, Dec 2014

• Host: GitHub
• URL: https://github.com/jakevdp/osloworkshop2014
• Owner: jakevdp
• License: bsd-2-clause
• Created: 2014-11-25T18:39:42.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2015-07-25T20:40:50.000Z (over 9 years ago)
• Last Synced: 2024-11-01T09:42:43.349Z (8 days ago)
• Language: Python
• Size: 11.5 MB
• Stars: 16
• Watchers: 6
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
OsloWorkshop2014

================

Material for my lectures at the University of Oslo, Dec 2014

This is a 3-day course on data analysis, visualiation, & modeling within a health economics context. See a static view of the lecture material [here](http://nbviewer.ipython.org/github/jakevdp/OsloWorkshop2014/blob/master/notebooks/Index.ipynb)

## Installation

To work through this material will require **Python** (either version 2.7 or 3.3-3.4) and the scientific stack, including **IPython**, **Numpy**, **Scipy**, **Matplotlib**, **Pandas**, and **Scikit-learn**. We'll also make use of **Seaborn** for visualization.

Currently the easiest cross-platform way of installing all of this is to use the Anaconda installer, available at http://continuum.io/downloads. To make sure you're up to date for all the above tools, install Anaconda (or [miniconda](http://conda.pydata.org/miniconda.html)) and then run:

```

$ conda update conda

$ conda update numpy scipy matplotlib ipython-notebook pandas scikit-learn seaborn pip

```