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Updated references. Moved scipy above commands.

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Donne Martin 2015-04-15 13:22:43 -04:00
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@ -138,6 +138,15 @@ IPython Notebook(s) demonstrating NumPy functionality.
|--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [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/scipy.png">
</p>
## scipy
[Coming Soon] IPython Notebook(s) demonstrating SciPy functionality.
<br/>
<p align="center">
<img src="https://raw.githubusercontent.com/donnemartin/ipython-data-notebooks/master/images/commands.png">
@ -156,22 +165,14 @@ 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/scipy.png">
</p>
## scipy
[Coming Soon] IPython Notebook(s) demonstrating SciPy functionality.
## references
* [Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython](http://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1449319793)
* [Building Machine Learning Systems with Python](http://www.amazon.com/Building-Machine-Learning-Systems-Python/dp/1782161406)
* [sklearn_pycon2015](https://github.com/jakevdp/sklearn_pycon2015)
* [parallel_ml_tutorial](https://github.com/ogrisel/parallel_ml_tutorial)
* [Think Stats](http://www.amazon.com/Think-Stats-Allen-B-Downey/dp/1449307116)
* [Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython](http://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1449319793) by Wes McKinney
* [Building Machine Learning Systems with Python](http://www.amazon.com/Building-Machine-Learning-Systems-Python/dp/1782161406) by Willi Richert, Luis Pedro Coelho
* [Programming Collective Intelligence: Building Smart Web 2.0 Applications](http://www.amazon.com/Programming-Collective-Intelligence-Building-Applications/dp/0596529325/) by Toby Segaran
* [PyCon 2015 Scikit-learn Tutorial](https://github.com/jakevdp/sklearn_pycon2015) by Jake VanderPlas
* [Parallel Machine Learning with scikit-learn and IPython](https://github.com/ogrisel/parallel_ml_tutorial) by Olivier Grisel
* [Think Stats](http://www.amazon.com/Think-Stats-Allen-B-Downey/dp/1449307116) by Allen Downey
## license