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        "description": "Elastic\n=======\n\n[![Build\nStatus](https://travis-ci.org/jochym/Elastic.svg?branch=master)](https://travis-ci.org/jochym/Elastic)\n[![PVersion\nBadge](https://img.shields.io/pypi/v/elastic.svg)](https://pypi.org/project/elastic/)\n[![CVersion\nBadge](https://anaconda.org/conda-forge/elastic/badges/version.svg)](https://anaconda.org/conda-forge/elastic)\n[![Downloads\nBadge](https://anaconda.org/conda-forge/elastic/badges/downloads.svg)](https://anaconda.org/conda-forge/elastic)\n[![License\nBadge](https://anaconda.org/jochym/elastic/badges/license.svg)](https://anaconda.org/jochym/elastic)\n[![DOI](https://zenodo.org/badge/doi/10.5281/zenodo.593721.svg)](https://doi.org/10.5281/zenodo.593721)\n[![Codacy Badge](https://api.codacy.com/project/badge/Grade/9f348d724d564ce399beb009ab9a3654)](https://www.codacy.com/app/jochym/Elastic?utm_source=github.com&utm_medium=referral&utm_content=jochym/Elastic&utm_campaign=badger)\n[![Documentation Status](https://readthedocs.org/projects/elastic/badge/?version=latest)](https://elastic.readthedocs.io/en/latest/?badge=latest)\n\nElastic is a set of python routines for calculation of elastic\nproperties of crystals (elastic constants, equation of state, sound\nvelocities, etc.). It is a third version of the in-house code I have\nwritten over few years and is implemented as a extension to the\n[ASE](https://wiki.fysik.dtu.dk/ase/) system. The code was a basis for\nsome of my publications and was described briefly in these papers. The\ncode was available to anyone, presented at the [Workshop on ab initio\nCalculations in Geosciences](http://wolf.ifj.edu.pl/workshop/work2008/)\nand used by some of my co-workers. This code is a re-implementation of\nelastic as a module for the ASE.\n\nThe on-line documentation is placed on\n[ReadTheDocs](http://elastic.rtfd.org/) or [Elastic\nwebsite](http://wolf.ifj.edu.pl/elastic/). You can obtain the\n[documentation as a PDF\nfile](https://media.readthedocs.org/pdf/elastic/stable/elastic.pdf) as\nwell.\n\nThe docs are also published at: [Elastic over\nIPFS](https://ipfs.io/ipns/QmSHUr59SLvWEZq7URTDGgouVaq7vFJYG7HqtBgL4s6M2u/)\n\nThe stable site hash is:\n/ipns/QmSHUr59SLvWEZq7URTDGgouVaq7vFJYG7HqtBgL4s6M2u/\n\nInstallation\n------------\n\nThe installation is simple if you are using conda package menager:\n\n    conda install -c conda-forge elastic\n\nIf you need a more elaborate [installation\ninstruction](http://nbviewer.ipython.org/github/jochym/qe-doc/blob/master/Installation.ipynb)\nfor computing environment to work with ASE - I have written just such a\ndocument. It is a first in the series of tutorials of this subject and\nyou can find it under nbviewer link above.\n\nThe project is open and I welcome patches, ideas and other feedback.\n\nAcknowledgments\n---------------\n\nIn the past the project was partially supported by:\n\n-   Department of Computational Material Science, Institute of Nuclear\n    Physics, PAN, Poland\n-   Department of Engineering, University of Saskatchewan, Canada",
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