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        "author": "Avyay Varadarajan",
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        "description": "# NBA Player Data into JSON\n\n## Installation\n```\npip install nba-player\n```\n\n## Usage\n\n```\nimport datanba\n```\n\n### Get All Players\n```\ndata = datanba.player_stats.AllOfBasketball(arr)\n```\narr is the years that you want in the normal year format for NBA (i.e [\"2018-19\"])\n\nTo get all player data into JSON\n\n```\ndata = datanba.player_stats.AllOfBasketball([\"2018-19\"])\ndata.gather(\"players.json\", exists=False)\n```\nOnly use this if you have nothing in your players.json file or it does not exist at all.\n\nHowever, since you will be polling a lot, you might have your connection work or the NBA stats API will limit you, so if scraping stops in the middle, you can change your code to:\n\n```\ndata = datanba.player_stats.AllOfBasketball([\"2018-19\"])\ndata.gather(\"players.json\", exists=True)\n```\nThen, scraping will continue from where it left off.\n\n### Use Player JSON data\n\nAfter polling once, you can reuse the output form the JSON file as long as you would like(until the data that you have polled has become old), by using these commands.\n\n```\nimport datanba.player_stats as datanba\ndata = datanba.AllOfBasketball([\"2018-19\"])\nplayers = data.players_from_json('players.json')\n```\nNow you have all NBA players in your `players` variable.\n\n\n\n",
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