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        "author": "Shao-Zheng-Jiang",
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            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
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        "description": "\n=====\nVASPy\n=====\n\n.. image:: https://travis-ci.org/PytLab/VASPy.svg?branch=master\n    :target: https://travis-ci.org/PytLab/VASPy\n    :alt: Build Status\n\n.. image:: https://landscape.io/github/PytLab/VASPy/master/landscape.svg?style=flat\n    :target: https://landscape.io/github/PytLab/VASPy/master\n    :alt: Code Health\n\n.. image:: https://codecov.io/gh/PytLab/VASPy/branch/master/graph/badge.svg\n    :target: https://codecov.io/gh/PytLab/VASPy\n\n.. image:: https://img.shields.io/badge/python-3.5, 2.7-green.svg\n    :target: https://www.python.org/downloads/release/python-351/\n    :alt: platform\n\n.. image:: https://img.shields.io/badge/pypi-v0.8.12-blue.svg\n    :target: https://pypi.python.org/pypi/vaspy/\n    :alt: versions\n\n\nIntroduction\n------------\n\nVASPy is a pure Python library designed to make it easy and quick to manipulate VASP files.\n\nYou can use VASPy to manipulate VASP files in command lins or write your own python scripts to process VASP files and visualize VASP data.\n\nIn `/scripts <https://github.com/PytLab/VASPy/tree/master/scripts>`_ , there are some scripts written by me for daily use.\n\nInstallation\n------------\n1. Via pip(recommend)::\n\n    pip install vaspy\n\n2. Via easy_install::\n\n    easy_install vaspy\n\n3. From source::\n\n    python setup.py install\n\nIf you want to use **mayavi** to visualize VASP data, it is recommened to install `Canopy environment <https://store.enthought.com/downloads/#default>`_ on your device instead of installing it manually.\n\nAfter installing canopy, you can set corresponding aliases, for example:\n\n.. code-block:: shell\n\n    alias canopy='/Users/<yourname>/Library/Enthought/Canopy/edm/envs/User/bin/python'\n    alias canopy-pip='/Users/zjshao/Library/Enthought/Canopy/edm/envs/User/bin/pip'\n    alias canopy-ipython='/Users/<yourname>/Library/Enthought/Canopy/edm/envs/User/bin/ipython'\n    alias canopy-jupyter='/Users/<yourname>/Library/Enthought/Canopy/edm/envs/User/bin/jupyter'\n\nThen you can install VASPy to canopy::\n\n    canopy-pip install vaspy\n\n",
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