diff --git a/README.md b/README.md index 0502dee..5d126b3 100644 --- a/README.md +++ b/README.md @@ -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.