{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Back to the main [Index](index.ipynb)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Useful links" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## ABINIT" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [ABINIT Tutorials](https://doc.abinit.org/tutorial)\n", "* [ABINIT Wiki](https://wiki.abinit.org/doku.php)\n", "* [ABINIT Forum](https://forum.abinit.org)\n", "* [PseudoDojo](http://www.pseudo-dojo.org): Tables of pseudopotentials" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Python programming" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [Python for Beginners](https://www.python.org/about/gettingstarted/)\n", "* [The Python tutorial](https://docs.python.org/2/tutorial/)\n", "* [DiveIntoPython3](http://www.diveintopython3.net/)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Ipython Notebooks" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [Introducing IPython Notebook](http://opentechschool.github.io/python-data-intro/core/notebook.html)\n", "* [Shortcuts and helpful tips for working in IPython](https://damontallen.github.io/IPython-quick-ref-sheets)\n", "* [Introduction to Python Programming](http://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-1-Introduction-to-Python-Programming.ipynb)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Useful Python distributions/packages/tools" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [Anaconda](https://store.continuum.io/cshop/anaconda/) \n", "Free Python distribution for large-scale data processing, predictive analytics, and scientific computing\n", "* [IPython](http://ipython.org/) \n", "Powerful interactive shells and much more...\n", "* [Numpy](http://www.numpy.org/) \n", "Fundamental package for scientific computing (arrays, linear algebra, Fourier transform, and random number capabilities)\n", "* [Scipy](http://www.scipy.org/) \n", "Software for mathematics, science, and engineering\n", "* [Pandas](http://pandas.pydata.org/) \n", "Easy-to-use data structures and data analysis tools\n", "* [Sympy](http://www.sympy.org/en/index.html) \n", "Python library for symbolic mathematics\n", "* [Matplotlib](http://matplotlib.org/) \n", "python plotting library" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Miscellaneous" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [Design Patterns](http://www.tutorialspoint.com/design_pattern)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Interesting notebooks" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [A gallery of interesting Jupyter Notebooks](https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks)\n", "* [Scientific-Computing-with-Python](http://nbviewer.ipython.org/github/chenleo/scientific-python-lectures/blob/master/Lecture-0-Scientific-Computing-with-Python.ipynb)\n", "* [matplotlib - 2D and 3D plotting in Python](http://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb)\n", "* [Introducing IPython](https://ipython.readthedocs.io/en/stable/interactive/tutorial.html)\n", "* [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)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Articles" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [Interactive notebooks: Sharing the code](http://www.nature.com/news/interactive-notebooks-sharing-the-code-1.16261)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Back to the main [Index](index.ipynb)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.0" }, "latex_envs": { "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 0 } }, "nbformat": 4, "nbformat_minor": 4 }