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        "author": "Emily Irvine",
        "author_email": "emilymirvine@gmail.com",
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        "description": ".. image:: https://img.shields.io/travis/vandermeerlab/nept/master.svg\n  :target: https://travis-ci.org/vandermeerlab/nept\n  :alt: Travis-CI build status\n\n.. image:: https://img.shields.io/codecov/c/github/vandermeerlab/nept/master.svg\n  :target: https://codecov.io/gh/vandermeerlab/nept/branch/master\n  :alt: Test coverage\n\n.. image:: https://img.shields.io/badge/docs-latest-blue.svg\n  :target: https://vandermeerlab.github.io/nept/\n  :alt: Documentation Status\n\n**********************************\nnept: Neuroelectrophysiology tools\n**********************************\n\nFormerly ``vdmlab``, renamed to emphasize general abilities of this library.\n\nGetting started\n===============\n\nIf you don't already have python 3, we recommend you download it using Miniconda \nfrom `Continuum Analytics <http://conda.pydata.org/miniconda.html>`_.\n\nWe recommend using a separate python environment.\n\nOpen a **new** terminal, create and activate a new conda environment::\n\n  conda create -n yourenv python=3.5\n  activate yourenv [Windows] or source activate yourenv [Linux]\n\nInstall package dependencies::\n\n  conda install matplotlib jupyter scipy numpy pandas seaborn pytest coverage\n\nFor Shapely, try::\n\n  pip install shapely\n\nIf that fails, in Windows, download the most recent wheel file \n`here <http://www.lfd.uci.edu/~gohlke/pythonlibs/#shapely>`_.\nOnce downloaded, install with wheel.\n\n.. code:: bash\n\n  pip install yourshapelyinstall.whl\n\nInstallation\n============\n\nClone nept from Github and use a developer installation::\n\n  git clone https://github.com/vandermeerlab/nept.git\n  cd nept\n  python setup.py develop\n\nDocumentation\n=============\n\nUsers\n-----\n\nCheck `GitHub Pages <https://vandermeerlab.github.io/nept/>`_\nfor the latest version of the nept documentation.\n\nDevelopers\n----------\n\nEnsure you have sphinx, numpydic, and mock::\n\n  conda install ghp-import sphinx numpydoc sphinx_rtd_theme\n\nInstall nbsphinx so notebooks in the documentations can be executed::\n  \n  pip install nbsphinx --user\n\nBuild the latest version of the documentation using \nin the nept directory prior to pushing it to Github::\n\n  sphinx-build docs docs/_build\n\nAnd push it to Github::\n\n  docs/update.sh\n\nTesting\n=======\n\nRun tests with `pytest <http://docs.pytest.org/en/latest/usage.html>`_.\n\nCheck coverage with `codecov <https://codecov.io/gh/vandermeerlab/nept>`_.\n\nLicense\n=======\n\nThe nept codebase is made available under made available \nunder the `MIT license <LICENSE.rst>`_\nthat allows using, copying and sharing.\n\nThe file ``nept/neuralynx_loaders.py`` contains code from \n`nlxio <https://github.com/bwillers/nlxio>`_ by Bernard Willers, \nused with permission. \n\nProjects using nept\n===================\n\n`emi_shortcut <https://github.com/vandermeerlab/emi_shortcut>`_\n\n`emi_biconditional <https://github.com/vandermeerlab/emi_biconditional>`_",
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