#!/usr/bin/env python
# coding: utf-8

# Back to the main [Index](index.ipynb)

# # Useful links

# ## ABINIT

# * [ABINIT Tutorials](https://doc.abinit.org/tutorial)
# * [ABINIT Wiki](https://wiki.abinit.org/doku.php)
# * [ABINIT Forum](https://forum.abinit.org)
# * [PseudoDojo](http://www.pseudo-dojo.org): Tables of pseudopotentials

# # Python programming

# * [Python for Beginners](https://www.python.org/about/gettingstarted/)
# * [The Python tutorial](https://docs.python.org/2/tutorial/)
# * [DiveIntoPython3](http://www.diveintopython3.net/)

# # Ipython Notebooks

# * [Introducing IPython Notebook](http://opentechschool.github.io/python-data-intro/core/notebook.html)
# * [Shortcuts and helpful tips for working in IPython](https://damontallen.github.io/IPython-quick-ref-sheets)
# * [Introduction to Python Programming](http://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-1-Introduction-to-Python-Programming.ipynb)

# # Useful Python distributions/packages/tools

# * [Anaconda](https://store.continuum.io/cshop/anaconda/) 
# Free Python distribution for large-scale data processing, predictive analytics, and scientific computing
# * [IPython](http://ipython.org/) 
# Powerful interactive shells and much more...
# * [Numpy](http://www.numpy.org/) 
# Fundamental package for scientific computing (arrays, linear algebra, Fourier transform, and random number capabilities)
# * [Scipy](http://www.scipy.org/) 
# Software for mathematics, science, and engineering
# * [Pandas](http://pandas.pydata.org/) 
# Easy-to-use data structures and data analysis tools
# * [Sympy](http://www.sympy.org/en/index.html) 
# Python library for symbolic mathematics
# * [Matplotlib](http://matplotlib.org/) 
# python plotting library

# # Miscellaneous

# * [Design Patterns](http://www.tutorialspoint.com/design_pattern)

# ## Interesting notebooks

# * [A gallery of interesting Jupyter Notebooks](https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks)
# * [Scientific-Computing-with-Python](http://nbviewer.ipython.org/github/chenleo/scientific-python-lectures/blob/master/Lecture-0-Scientific-Computing-with-Python.ipynb)
# * [matplotlib - 2D and 3D plotting in Python](http://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb)
# * [Introducing IPython](https://ipython.readthedocs.io/en/stable/interactive/tutorial.html)
# * [Pandas cookbook](https://github.com/jvns/pandas-cookbook): [Chapter 1 Reading from CVS](http://nbviewer.jupyter.org/github/jvns/pandas-cookbook/blob/master/cookbook/Chapter%201%20-%20Reading%20from%20a%20CSV.ipynb)

# ## Articles

# * [Interactive notebooks: Sharing the code](http://www.nature.com/news/interactive-notebooks-sharing-the-code-1.16261)

# Back to the main [Index](index.ipynb)