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        "author": "Akhil Kondepudi",
        "author_email": "akhil.compsci79@gmail.com",
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            "Development Status :: 5 - Production/Stable",
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            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Programming Language :: Python",
            "Topic :: Software Development :: Build Tools"
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        "description": "dlo\n========\n\n``dlo`` is a lightweight, dynamic Python client to pull NBA data from stats.nba.com_.\n\nOverview\n____________________\n\nThis client utilizes error messages from the stats.nba.com API to:\n\n* check whether parameter passed is valid\n* check whether endpoint is valid or possibly deprecated\n* return list of parameters for endpoint\n* return list of possible values for any parameters and whether required for endpoint\n* automatically pass required parameters with default value if not given\n\nIt is possible to build a documentation of the API given possible endpoints with this client.\n\nInspired by nba_py_.\n\nInstallation\n____________________\n\n.. code-block:: bash\n\n    # stable version\n    pip install dlo\n\n    # latest version\n    git clone https://github.com/avkondepudi/dlo.git\n    cd ./dlo\n    pip install .\n\nDependencies\n____________________\n\n* requests_ (required)\n* pandas_ (recommended)\n\nUsage\n____________________\n\nA list of endpoints can be found here_. IDs (PlayerID, GameID, etc.) can be found on stats.nba.com_.\n\n.. code-block:: python\n\n    >>> from dlo import Data                            # import module\n    >>> LOCAL = {                                       # set local parameters\n    ... \"PlayerID\": 1626156,                            \n    ... \"Season\": \"2018-19\",\n    ... \"SeasonType\": \"Regular Season\"\n    ... }\n    >>> d = Data(**LOCAL)                               # create instance of Data class with local parameters\n    >>> d.local = LOCAL                                 # another way to pass local parameters (recommended; deletes previous local parameters)\n    >>> d.local                                         # returns local parameters passed\n    {\"PlayerID\": 1626156, \"Season\": \"2018-19\", \"SeasonType\": \"Regular Season\"}\n    >>> d.endpoint = \"playergamelog\"                    # set endpoint\n    >>> d.endpoint                                      # returns current endpoint\n    \"playergamelog\" \n    >>> d.getEndpointParams()                           # returns list of parameters for current endpoint\n    ['PlayerID', 'Season', 'SeasonType']\n    >>> d.getParamInfo(\"SeasonType\")                    # returns list of values for parameter and whether required\n    {'regex': '^(Regular Season)|(Pre Season)|(Playoffs)|(All-Star)|(All Star)$', 'values': ['Regular Season', 'Pre Season', 'Playoffs', 'All-Star', 'All Star'], 'required': True}\n    >>> d.getParam(\"Season\")                            # returns parameter value if passed\n    \"2018-19\"\n    >>> d.removeParam(\"Season\")                         # value for Season (2018-19) removed\n    >>> d.setParam(\"Season\", \"2018-19\")                 # two ways to set/add parameters\n    >>> d.Season = \"2018-19\"\n    >>> data = d.getData()                              # returns data (game log of D'Angelo Russell for the 2018-19 Regular Season)\n    >>> data_in_pandas_format = d.getData(pandify=True)\n\n.. _stats.nba.com: https://stats.nba.com/ \n.. _nba_py: https://github.com/seemethere/nba_py\n.. _requests: https://github.com/psf/requests\n.. _pandas: https://github.com/pandas-dev/pandas\n.. _here: https://any-api.com/nba_com/nba_com/docs/API_Description\n\n\n",
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