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        "author": "Nick Frost",
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            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
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        "description": "nass\n====\n\n.. image:: https://img.shields.io/travis/nickfrostatx/nass.svg\n    :target: https://travis-ci.org/nickfrostatx/nass\n\n.. image:: https://img.shields.io/coveralls/nickfrostatx/nass.svg\n    :target: https://coveralls.io/github/nickfrostatx/nass\n\n.. image:: https://img.shields.io/pypi/v/nass.svg\n    :target: https://pypi.python.org/pypi/nass\n\n.. image:: https://img.shields.io/pypi/l/nass.svg\n    :target: https://raw.githubusercontent.com/nickfrostatx/nass/master/LICENSE\n\n``nass`` is a wrapper around the public API for the USDA National Agricultural\nStatistics Service.\n\nInstallation\n------------\n\n.. code-block:: bash\n\n    $ pip install nass\n\nUsage\n-----\n\n.. code-block:: python\n\n    >>> import nass\n    >>> api = nass.NassApi('your api key')\n    >>> api.param_values('source_desc')\n    ['CENSUS', 'SURVEY']\n    >>> q = api.query()\n    >>> q.filter('commodity_desc', 'CORN').filter('year', 1990)\n    >>> q.count()\n    25259\n    >>> q.execute()\n    [{'sector_desc': 'CROPS', ...}, ...]\n\nSee http://quickstats.nass.usda.gov/ for the full list of fields.\n\nExceptions\n----------\n\nIf something goes wrong communicating with NASS, an exception will be raised.\nThis includes connection problems (e.g. timeout, DNS failure), as well as\nspecific error messages.\n\nAll exceptions subclass ``NassException``, so you can use it to catch all\nexceptions.\n\nDocumentation\n-------------\n\nYou can find full documentation of the ``nass`` package at\nhttps://nass.readthedocs.org.\n\n\n.. :changelog:\n\nHistory\n-------\n\n0.1.1 (2015-10-14)\n++++++++++++++++++\n\n- Python 3.5 support\n- Mark as stable\n\n0.1.0 (2015-07-18)\n++++++++++++++++++\n\n- Initial release",
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