https://github.com/dmasad/scientific-python-for-css-605

Examples for guest lecture for CSS 605
https://github.com/dmasad/scientific-python-for-css-605

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Examples for guest lecture for CSS 605

• Host: GitHub
• URL: https://github.com/dmasad/scientific-python-for-css-605
• Owner: dmasad
• Created: 2015-10-26T00:57:57.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2015-10-28T20:03:04.000Z (about 9 years ago)
• Last Synced: 2024-10-16T14:17:20.420Z (3 months ago)
• Language: Python
• Size: 484 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Scientific-Python-for-CSS-605

## Examples for guest lecture for CSS 605

This repository contains some examples I'll run through in class. To follow along, you'll need:

#### For Part A: 

The [Scientific Python toolchain](http://www.scipy.org/): in particular, [IPython](http://ipython.org/) (including the [Jupyter Notebook](http://jupyter.org/)), [NumPy](http://www.numpy.org/), [matplotlib](http://matplotlib.org/), and [pandas](http://pandas.pydata.org/).

**Installing:** If you're using [Anaconda](https://www.continuum.io/why-anaconda) or a similar pre-packaged version Scientific Python, you should be set. Otherwise, you can install all the libraries above using the `pip` command from the command line:

  ```

  pip install ipython[all]

  pip install numpy

  pip install matplotlib

  pip install pandas

  ```

To launch the IPython Notebook, just run from the command line:

  `ipython notebook`

(or use the launcher included with Anaconda)

#### For Part B:

The [Mesa ABM framework](https://github.com/projectmesa/mesa). Installing it is also done with pip:

  `pip install mesa`