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        "author": "Brett LaBombarda",
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            "Environment :: Console",
            "License :: OSI Approved",
            "License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Programming Language :: Python :: 3.9",
            "Topic :: Software Development",
            "Topic :: Software Development :: Libraries",
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        "description": "# statsapiclient: A client for the NHL stats API\n\n[![PyPI version](https://badge.fury.io/py/statsapiclient.svg)](https://pypi.org/project/statsapiclient)\n\n[![CircleCI](https://circleci.com/gh/bplabombarda/statsapiclient.svg?style=svg)](https://circleci.com/gh/bplabombarda/statsapiclient)\n\n## Purpose\n\nTo provide a Python client to access the NHL's JSON API including game, play, and player data.\n\n\n## Installation\n\n    pip install statsapiclient\n\n\n## Modules\n\n### Schedule\n\n`games`\n\nA list of games contained within the instantiated date or date range.\n\n\n### Games\n\n#### game\n\n`json`\n\nRaw JSON response data.\n\n`box_score`\n\nBox score object.\n\n`line_score`\n\nLine score object.\n\n`plays`\n\nPlay object.\n\n\n### Team\n\n`get_active`\n\nReturns a list of all active teams.\n\n`get_active_by_conference`\n\nReturns a list of all active teams in a given conference.\n\n`get_active_by_division`\n\nReturns a list of all active teams in a given division.\n\n\n### Examples\n\nGames from date:\n      \n    from statsapiclient.schedule import Schedule\n\n\n    s = Schedule('2019-01-01')\n    print(s.games[0]['gamePk'])    # 2018020612\n\nGame data:\n\n    from statsapiclient.games import Game\n\n    g = Game('2018020612')\n\n    box_score = g.box_score\n    line_score = g.line_score\n    play_by_play = g.plays\n\nPlay data:\n\n    g.plays.all_plays                   # All plays\n    g.plays.get_plays_by_period(1)      # All plays in the first period\n    g.plays.get_penalty_plays()         # All penalty plays\n    g.plays.get_scoring_plays()         # All scoring plays\n",
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