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README.rst
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README.rst
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**Official docs:** http://pythonhosted.org/abipy/
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:Repository: https://github.com/gmatteo/abipy
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:Author: Matteo Giantomassi (http://github.com/gmatteo)
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.. image:: https://pypip.in/v/abipy/badge.png
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:target: https://pypi.python.org/pypi/abipy
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About
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=====
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Abipy is an open-source library for the analysis of the results produced by ABINIT (http://www.abinit.org),
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an open-source program for the ab-initio calculation of the physical properties of materials
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within Density Functional Theory (DFT).
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Abipy is written in Python and is designed with the philosophy that you should be able to create
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simple plots with just a few commands.
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Documentation available at http://pythonhosted.org/abipy/
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Check out the the list of plotting scripts available in the
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`examples/plot <http://pythonhosted.org/abipy/examples/plot/index.html>`_ directory.
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To learn more about abipy, you can visit our example collection of ipython `notebooks
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<http://nbviewer.ipython.org/github/gmatteo/abipy/blob/master/abipy/examples/notebooks/index.ipynb>`_
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and the abipy `lessons
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<http://nbviewer.ipython.org/github/gmatteo/abipy/blob/master/abipy/examples/notebooks/lessons/index.ipynb>`_.
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and the abipy
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`lessons <http://nbviewer.ipython.org/github/gmatteo/abipy/blob/master/abipy/examples/notebooks/lessons/index.ipynb>`_.
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Abipy is free to use. However, we also welcome your help to improve this library by making your own contributions.
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These contributions can be in the form of additional tools or modules you develop, or even simple things
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The directory `abipy.gui.demos` contains demos that can be used to test the installation
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(run the script `runall.py` to have an overview of the different graphical interfaces).
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See the ``INSTALL_HOTWO.rst``
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Using abipy
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===========
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* plot - scripts showing how to produce plots with matplotlib
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* htc - usage examples of the High-throughput API.
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* notebooks - ipython notebooks
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(use `ipython notebook FILE` to open the notebook in your browser)
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