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Added regex reference to README.

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Donne Martin 2015-06-14 06:32:27 -04:00
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@ -27,6 +27,7 @@ This repo is a collection of IPython Notebooks I reference while working with da
* [scipy](#scipy)
* [python-data](#python-data)
* [command lines](#commands)
* [misc](#misc)
* [notebook-installation](#notebook-installation)
* [credits](#credits)
* [contact-info](#contact-info)
@ -198,6 +199,14 @@ IPython Notebook(s) demonstrating various command lines for Linux, Git, etc.
| [jekyll](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/misc.ipynb#jekyll) | Simple, blog-aware, static site generator for personal, project, or organization sites. Renders Markdown or Textile and Liquid templates, and produces a complete, static website ready to be served by Apache HTTP Server, Nginx or another web server. Pelican is a python-based alternative. |
| [django](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/misc.ipynb#django) | High-level Python Web framework that encourages rapid development and clean, pragmatic design. It can be useful to share reports/analyses and for blogging. Lighter-weight alternatives include Pyramid, Flask, and Bottle.
## misc
IPython Notebook(s) demonstrating miscellaneous functionality.
| Notebook | Description |
|--------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [regex](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/misc/regex.ipynb) | Regular expression cheat sheet useful in data wrangling.|
## notebook-installation
Anaconda is a free distribution of the Python programming language for large-scale data processing, predictive analytics, and scientific computing that aims to simplify package management and deployment.