Metadata-Version: 1.1
Name: nfldb
Version: 0.0.2
Summary: A library to manage and update NFL data in a relational database.
Home-page: https://github.com/BurntSushi/nfldb
Author: Andrew Gallant
Author-email: nfldb@burntsushi.net
License: WTFPL
Description: Module nfldb provides command line tools and a library for maintaining
        and querying a relational database of play-by-play NFL data. The data is
        imported from `nflgame <https://github.com/BurntSushi/nflgame>`__, which
        in turn gets its data from a JSON feed on NFL.com's live GameCenter
        pages. This data includes, but is not limited to, game schedules,
        scores, rosters and play-by-play data for every preseason, regular
        season and postseason game dating back to 2009.
        
        In theory, both ``nfldb`` and ``nflgame`` provide access to the same
        data. The difference is in the execution. In order to search data in
        nflgame, a large JSON file needs to be read from disk and loaded into
        Python data structures for each game. Conversely, nfldb's data is stored
        in a relational database, which can be searched and retrieved faster
        than nflgame by a few orders of magnitude. Moreover, the relational
        organization of data in nfldb allows for a convenient `query
        interface <http://goo.gl/Sd6MN2>`__ to search NFL play data.
        
        The database can be updated with real time data from active games by
        running the ``nfldb-update`` script included with this module as often
        as you're comfortable pinging NFL.com. (N.B. The JSON data itself only
        updates every 15 seconds, so running ``nfldb-update`` faster than that
        would be wasteful.) Roster updates are done automatically at a minimum
        interval of 12 hours.
        
        nfldb has `comprehensive API
        documentation <http://pdoc.burntsushi.net/nfldb>`__ and a `wiki with
        examples <https://github.com/BurntSushi/nfldb/wiki>`__.
        
        nfldb can be used in conjunction with
        `nflvid <https://pypi.python.org/pypi/nflvid>`__ to `search and watch
        NFL game footage <http://goo.gl/1qSwJw>`__.
        
Platform: ANY
Classifier: License :: Public Domain
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Other Audience
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Database
