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            "Intended Audience :: Other Audience",
            "License :: Public Domain",
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            "Programming Language :: Python :: 2.6",
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        "description": "Module nfldb provides command line tools and a library for maintaining\nand querying a relational database of play-by-play NFL data. The data is\nimported from `nflgame <https://github.com/BurntSushi/nflgame>`__, which\nin turn gets its data from a JSON feed on NFL.com's live GameCenter\npages. This data includes, but is not limited to, game schedules,\nscores, rosters and play-by-play data for every preseason, regular\nseason and postseason game dating back to 2009.\n\nHere is a small teaser that shows how to use nfldb to find the top five\npassers in the 2012 regular season:\n\n::\n\n    #!python\n    import nfldb\n\n    db = nfldb.connect()\n    q = nfldb.Query(db)\n\n    q.game(season_year=2012, season_type='Regular')\n    for pp in q.sort('passing_yds').limit(5).as_aggregate():\n        print pp.player, pp.passing_yds\n\nAnd the output is:\n\n::\n\n    [andrew@Liger ~] python2 top-five.py\n    Drew Brees (NO, QB) 5177\n    Matthew Stafford (DET, QB) 4965\n    Tony Romo (DAL, QB) 4903\n    Tom Brady (NE, QB) 4799\n    Matt Ryan (ATL, QB) 4719\n\nIn theory, both ``nfldb`` and ``nflgame`` provide access to the same\ndata. The difference is in the execution. In order to search data in\nnflgame, a large JSON file needs to be read from disk and loaded into\nPython data structures for each game. Conversely, nfldb's data is stored\nin a relational database, which can be searched and retrieved faster\nthan nflgame by a few orders of magnitude. Moreover, the relational\norganization of data in nfldb allows for a convenient `query\ninterface <http://goo.gl/Sd6MN2>`__ to search NFL play data.\n\nThe database can be updated with real time data from active games by\nrunning the ``nfldb-update`` script included with this module as often\nas you're comfortable pinging NFL.com. (N.B. The JSON data itself only\nupdates every 15 seconds, so running ``nfldb-update`` faster than that\nwould be wasteful.) Roster updates are done automatically at a minimum\ninterval of 12 hours.\n\nnfldb has `comprehensive API\ndocumentation <http://pdoc.burntsushi.net/nfldb>`__ and a `wiki with\nexamples <https://github.com/BurntSushi/nfldb/wiki>`__.\n\nnfldb can be used in conjunction with\n`nflvid <https://pypi.python.org/pypi/nflvid>`__ to `search and watch\nNFL game footage <http://goo.gl/Mckaf0>`__.\n\nIf you need help, please join us at our IRC channel ``#nflgame`` on\nFreeNode.",
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