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        "description": "# yapywrangler\n\n### Update 05/31/2019:\nThis package was initally released over a year ago in the wake of Yahoo Finance updating their backend API.\nAt that time, the only means of retrieving data required gnarly parsing and took noticable time to process.\nBecause of this, on the initial release, a local file system for caching parts of retrieved files was used \nto cut down on processing time.\n\nSince then, Yahoo Finance has updated their API resulting in much faster response times, and negating the \nneed for the caching system.\n\nDue to this, yapywrangler has been revised to include just its core request functionality.\n\n\n## Install:\n\n    pip install yapywrangler\n\n\n## Usage:\n\n    from yapywrangler import get_yahoo_data\n\n    stock_ticker = \"MSFT\"\n    data = get_yahoo_data(stock_ticker, start_date='2006-03-26', end_date='2019-05-29')\n    msft = pd.DataFrame(data)\n\n### Default Args\n    start_date: 2000-01-01\n    end_date: now\n\n### Data Format:\n\n    {\n        'timestamp': [1559136600, 1559223000, 1559321620], \n        'date': ['2019-05-29', '2019-05-30', '2019-05-31'], \n        'open': [29.0, 28.399999618530273, 27.56999969482422], \n        'high': [29.31999969482422, 28.559999465942383, 28.360000610351562], \n        'low': [27.729999542236328, 27.600000381469727, 27.5], \n        'close': [28.09000015258789, 28.030000686645508, 27.940000534057617], \n        'volume': [99969600, 65072900, 40126715]\n    }\n\n\n\n",
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        "license": "MIT",
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