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https://github.com/ipython-books/minibook-2nd-code

Code of the IPython Minibook, 2nd edition (2015)
https://github.com/ipython-books/minibook-2nd-code

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Code of the IPython Minibook, 2nd edition (2015)

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README

          

# IPython minibook, second edition

This repository contains all the code examples as IPython notebooks.

## Table of contents

### 1. Getting started with IPython

* 1.1. What are Python, IPython, and Jupyter?
* [1.2. Installing Python with Anaconda](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter1/12-installation.ipynb) (**Complete sample!**)
* [1.3. Introducing the Notebook](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter1/13-nbui.ipynb) (**Complete sample!**)
* [1.4. A crash course on Python](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter1/14-python.ipynb) (**Complete sample!**)
* [1.5. Ten Jupyter/IPython essentials](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter1/15-ten.ipynb)
* 1.6. Summary

### 2. Interactive data analysis with pandas

* [2.1. Exploring a dataset in the Notebook](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter2/21-exploring.ipynb)
* [2.2. Manipulating data](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter2/22-manipulating.ipynb)
* [2.3. Complex operations](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter2/23-groupby.ipynb)
* 2.4. Summary

### 3. Numerical computing with NumPy

* [3.1. A primer to vector computing](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter3/31-primer.ipynb)
* [3.2. Creating and loading arrays](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter3/32-creating.ipynb)
* [3.3. Basic array manipulations](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter3/33-basic.ipynb)
* [3.4. Computing with NumPy arrays](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter3/34-computing.ipynb) (**Complete sample!**)
* 3.5. Summary

### 4. Interactive plotting and Graphical Interfaces

* [4.1. Choosing a plotting backend](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter4/41-notebook.ipynb)
* [4.2. matplotlib and seaborn essentials](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter4/42-mpl.ipynb)
* [4.3. Image processing](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter4/43-image.ipynb)
* 4.4. Further plotting and visualization libraries
* 4.5. Summary

### 5. High-performance and parallel computing

* [5.1. Accelerating Python code with Numba](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter5/51-numba.ipynb)
* [5.2. Writing C in Python with Cython](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter5/52-cython.ipynb)
* [5.3. Distributing tasks on several cores with IPython.parallel](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter5/53-parallel.ipynb)
* 5.4. Further high-performance computing techniques
* 5.5. Summary

### 6. Customizing IPython

* [6.1. Creating a custom magic command in an IPython extension](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter6/61-magic.ipynb)
* [6.2. Writing a new Jupyter kernel](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter6/62-kernel.ipynb)
* [6.3. Displaying rich HTML elements in the Notebook](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter6/63-rich.ipynb)
* [6.4. Customizing the Notebook interface with JavaScript](http://nbviewer.ipython.org/github/ipython-books/minibook-2nd-code/blob/master/chapter6/64-nbapp.ipynb)
* 6.5. Summary