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        "description": "===================================\nAtmospheric Community Toolkit (ACT)\n===================================\n\n|AnacondaCloud| |CondaDownloads|\n\n|Travis|\n\n.. |AnacondaCloud| image:: https://anaconda.org/conda-forge/act-atmos/badges/version.svg\n    :target: https://anaconda.org/conda-forge/act-atmos\n\n.. |CondaDownloads| image:: https://anaconda.org/conda-forge/act-atmos/badges/downloads.svg\n    :target: https://anaconda.org/conda-forge/act-atmos/files\n\n.. |Travis| image:: https://img.shields.io/travis/ANL-DIGR/ACT.svg\n        :target: https://travis-ci.org/ANL-DIGR/ACT\n\nPython toolkit for working with atmospheric time-series datasets of varying dimensions. The toolkit\nis meant to have functions for every part of the scientific process; discovery, IO,\nquality control, corrections, retrievals, visualization, and analysis. Initial efforts were\nheavily focused on the static visualization aspect of the process, but future efforts will look to\nbuild up the other areas of interest include discovery, corrections, retirevals, and\ninteractive plots.\n\n* Free software: 3-clause BSD license\n\nImportant Links\n~~~~~~~~~~~~~~~\n\n* Documentation: https://anl-digr.github.io/ACT/\n* Examples: https://anl-digr.github.io/ACT/source/auto_examples/index.html\n* Issue Tracker: https://github.com/ANL-DIGR/ACT/issues\n\nDependencies\n~~~~~~~~~~~~\n\n* `NumPy <https://www.numpy.org/>`_\n* `SciPy <https://www.scipy.org/>`_\n* `matplotlib <https://matplotlib.org/>`_\n* `xarray <https://xarray.pydata.org/en/stable/>`_\n* `astral <https://astral.readthedocs.io/en/latest/>`_\n* `pandas <https://pandas.pydata.org/>`_\n* `dask <https://dask.org/>`_\n* `Pint <https://pint.readthedocs.io/en/0.9/>`_\n* `Cartopy <https://scitools.org.uk/cartopy/docs/latest/>`_\n* `Boto3 <https://aws.amazon.com/sdk-for-python/>`_\n* `PyProj <https://pyproj4.github.io/pyproj/stable/>`_\n\nInstallation\n~~~~~~~~~~~~\n\nACT can be installed a few different ways. One way is to install using pip.\nWhen installing with pip, the ACT dependencies found in\n`requirements.txt <https://github.com/ANL-DIGR/ACT/blob/master/requirements.txt>`_ will also be installed. To install using pip::\n\n    pip install act-atmos\n\nThe easiest method for installing ACT is to use the conda packages from\nthe latest release. To do this you must download and install \n`Anaconda <https://www.anaconda.com/download/#>`_ or \n`Miniconda <https://conda.io/miniconda.html>`_.\nWith Anaconda or Miniconda install, it is recommended to create a new conda\nenvironment when using ACT or even other packages. To create a new\nenvironment based on the `environment.yml <https://github.com/ANL-DIGR/ACT/blob/master/environment.yml>`_::\n\n    conda env create -f environment.yml\n\nOr for a basic environment and downloading optional dependencies as needed::\n\n    conda create -n act_env -c conda-forge python=3.7 act-atmos\n\nBasic command in a terminal or command prompt to install the latest version of\nACT::\n\n    conda install -c conda-forge act-atmos\n\nTo update an older version of ACT to the latest release use::\n\n    conda update -c conda-forge act-atmos\n\nIf you do not wish to use Anaconda or Miniconda as a Python environment or want\nto use the latest, unreleased version of ACT see the section below on \n**Installing from source**.\n\nInstalling from Source\n~~~~~~~~~~~~~~~~~~~~~~\n\nInstalling ACT from source is the only way to get the latest updates and\nenhancement to the software that have no yet made it into a release.\nThe latest source code for ACT can be obtained from the GitHub repository,\nhttps://github.com/ANL-DIGR/ACT. 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For more on\ncontributing, see the `contributor's guide. <https://github.com/ANL-DIGR/ACT/blob/master/CONTRIBUTING.rst>`_\n\nTesting\n~~~~~~~\n\nAfter installation, you can launch the test suite from outside the\nsource directory (you will need to have pytest installed)::\n\n   $ pytest --pyargs act\n\nIn-place installs can be tested using the `pytest` command from within\nthe source directory.\n\n\n",
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