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README.md

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@@ -10,12 +10,12 @@ This repository contains the recipes of the [IPython Cookbook](http://ipython-bo
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A selection of free recipes from the book:
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1. [Getting the best performance out of NumPy](http://nbviewer.ipython.org/github/ipython-books/cookbook-code/blob/master/featured/01_numpy_performance.ipynb)
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2. [Simulating a physical system by minimizing an energy](http://nbviewer.ipython.org/github/ipython-books/cookbook-code/blob/master/featured/02_energy_minimization.ipynb)
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3. [Creating a route planner for road network](http://nbviewer.ipython.org/github/ipython-books/cookbook-code/blob/master/featured/03_gps.ipynb)
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4. [Introduction to machine learning in Python with scikit-learn](http://nbviewer.ipython.org/github/ipython-books/cookbook-code/blob/master/featured/04_scikit.ipynb)
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5. [Simulating a partial differential equation: reaction-diffusion systems and Turing patterns](http://nbviewer.ipython.org/github/ipython-books/cookbook-code/blob/master/featured/05_turing.ipynb)
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6. [Getting started with Vispy](http://nbviewer.ipython.org/github/ipython-books/cookbook-code/blob/master/featured/06_vispy.ipynb)
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1. [Getting the best performance out of NumPy](http://ipython-books.github.io/featured-01/)
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2. [Simulating a physical system by minimizing an energy](http://ipython-books.github.io/featured-02/)
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3. [Creating a route planner for road network](http://ipython-books.github.io/featured-03/)
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4. [Introduction to machine learning in Python with scikit-learn](http://ipython-books.github.io/featured-04/)
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5. [Simulating a partial differential equation: reaction-diffusion systems and Turing patterns](http://ipython-books.github.io/featured-05/)
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6. [Getting started with Vispy](http://ipython-books.github.io/featured-06/)
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* more coming soon...
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