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        "description": "=======\npynetcf\n=======\n\n.. image:: https://travis-ci.org/TUW-GEO/pynetCF.svg?branch=master\n    :target: https://travis-ci.org/TUW-GEO/pynetCF\n\n.. image:: https://coveralls.io/repos/github/TUW-GEO/pynetCF/badge.svg?branch=master\n   :target: https://coveralls.io/github/TUW-GEO/pynetCF?branch=master\n\n.. image:: https://badge.fury.io/py/pynetcf.svg\n    :target: https://badge.fury.io/py/pynetcf\n\n.. image:: https://readthedocs.org/projects/pynetcf/badge/?version=latest\n   :target: http://pynetcf.readthedocs.org/\n\nBasic python classes that map to netCDF files on disk written according to the `Climate and Forecast metadata conventions`_\n\n.. _Climate and Forecast metadata conventions: (http://cfconventions.org/Data/cf-conventions/cf-conventions-1.6/build/cf-conventions.html)\n\nThis is a first draft which has a lot of room for improvements, this is especially true for the time series based representations.\n\nCitation\n========\n\n.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.846767.svg\n   :target: https://doi.org/10.5281/zenodo.846767\n\nIf you use the software in a publication then please cite it using the Zenodo DOI.\nBe aware that this badge links to the latest package version.\n\nPlease select your specific version at https://doi.org/10.5281/zenodo.846767 to get the DOI of that version.\nYou should normally always use the DOI for the specific version of your record in citations.\nThis is to ensure that other researchers can access the exact research artefact you used for reproducibility.\n\nYou can find additional information regarding DOI versioning at http://help.zenodo.org/#versioning\n\nInstallation\n============\n\nThis package should be installable through pip:\n\n.. code::\n\n    pip install pynetcf\n\nContribute\n==========\n\nWe are happy if you want to contribute. Please raise an issue explaining what\nis missing or if you find a bug. We will also gladly accept pull requests\nagainst our master branch for new features or bug fixes.\n\nDevelopment setup\n-----------------\n\nFor Development we also recommend a ``conda`` environment. You can create one\nincluding test dependencies and debugger by running\n``conda env create -f environment.yml``. This will create a new ``pynetcf``\nenvironment which you can activate by using ``source activate pynetcf``.\n\nGuidelines\n----------\n\nIf you want to contribute please follow these steps:\n\n- Fork the pynetCF repository to your account\n- make a new feature branch from the pynetCF master branch\n- Add your feature\n- Please include tests for your contributions in one of the test directories.\n  We use py.test so a simple function called test_my_feature is enough\n- submit a pull request to our master branch\n\nNote\n====\n\nFor now please see the tests for examples on how to use the classes.",
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