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Use that instead.\n\n\u003cpre\u003e\u003ccode\u003e   _\n  (_)\n \u003c___\u003e\n  | |______\n  | |* * * )\n  | | * * (_________\n  | |* * * |* *|####)\n  | | * * *| * |   (________________\n  | |* * * |* *|####|##############|\n  | | * * *| * |    |              |\n  | |* * * |* *|####|##############|\n  | |~~~~~~| * |    |              |\n  | |######|* *|####|##############|\n  | |      |~~~'    |              |\n  | |######|########|##############|\n  | |      |        |              |\n  | |######|########|##############|\n  | |~~~~~~|        |              |\n  | |      |########|##############|\n  | |      '~~~~~~~~|              |\n  | |               |##############|\n  | |               '~~~~~~~~~~~~~~~\n  | |\n  | |      PYTHON-ELECTIONS\n  | |\n  | |\u003c/code\u003e\u003c/pre\u003e\n\nA Python wrapper for the Associated Press's U.S. election data service. \n\n[![Build Status](https://travis-ci.org/datadesk/python-elections.png?branch=master)](https://travis-ci.org/datadesk/python-elections) [![Coverage Status](https://coveralls.io/repos/datadesk/python-elections/badge.png)](https://coveralls.io/r/datadesk/python-elections)\n\nFeatures\n--------\n\n* Easy access to AP election results for races in U.S. states and counties.\n* Easy access to AP's delegate estimates in presidential nomination contests\n\nRequirements\n------------\n\nIn order to use this library, you must pay AP for access to the data. More information can be found on the [AP's web site](http://www.apdigitalnews.com/ap_elections.html) or by contacting Anthony Marquez at [amarquez@ap.org](mailto:amarquez@ap.org).\n\nGetting Started\n---------------\n\n* [Documentation](http://python-elections.rtfd.org)\n* [Introductory blog post](http://datadesk.latimes.com/posts/2012/01/introducing-python-elections/)\n\nCredits\n-------\n\nASCII art by Joan Stark\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatadesk%2Fpython-elections","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatadesk%2Fpython-elections","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatadesk%2Fpython-elections/lists"}