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Added numpy to README. Reordered some sections.

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Donne Martin 2015-04-09 13:34:15 -04:00
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README.md
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@ -114,6 +114,19 @@ IPython Notebook(s) demonstrating various command lines for Linux, Git, etc.
| [ruby](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/commands/misc.ipynb#ruby) | Used to interact with the AWS command line and for Jekyll, a blog framework that can be hosted on GitHub Pages. |
| [jekyll](http://nbviewer.ipython.org/github/donnemartin/ipython-data-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. |
<br/>
<p align="center">
<img src="https://raw.githubusercontent.com/donnemartin/ipython-data-notebooks/master/images/numpy.png">
</p>
## numpy
IPython Notebook(s) demonstrating NumPy functionality.
| Notebook | Description |
|--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [numpy](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/numpy/numpy.ipynb) | Adds Python support for large, multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays. |
<br/>
<p align="center">
<img src="https://raw.githubusercontent.com/donnemartin/ipython-data-notebooks/master/images/scikitlearn.png">
@ -132,15 +145,6 @@ IPython Notebook(s) demonstrating various command lines for Linux, Git, etc.
[Coming Soon] IPython Notebook(s) demonstrating SciPy functionality.
<br/>
<p align="center">
<img src="https://raw.githubusercontent.com/donnemartin/ipython-data-notebooks/master/images/numpy.png">
</p>
## numpy
[Coming Soon] IPython Notebook(s) demonstrating NumPy functionality.
## References
* [Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython](http://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1449319793)