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        "author": "Julian Barg",
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        "description": "# Wrds Tools\n\nTools for accessing compustat variables through WRDS by name.\n\n## Setup\n\nTo build a connection to the wrds server via python, a .pgpass file is required in the user's home \ndirectory, with access limited to the user. To create this file, follow the instructions here: ![How to access WRDS through Python](https://wrds-www.wharton.upenn.edu/pages/support/programming-wrds/programming-python/python-from-your-computer/) (WRDS login required).\n\nAfter creating the file, don't forget to run \"chmod 0600 ~/.pgpass\" in the console to limit access, ![as also described here](https://www.postgresql.org/docs/9.5/libpq-pgpass.html).\n\n### Using package directly from github\n\nInstall import_from_github_com from your terminal to use this package directly from github.\n\n```bash\npip3 install import_from_github_com\n```\nOr use your package manager (e.g., Conda).\n\nNow you can use Wrds Tools by importing it from github.\n```python\nimport wrds\nfrom github_com.julianbarg import wrds_tools\n```\n\n## Example\nBuild a connection to WRDS.\n```python\nwrds = wrds_tools.WrdsConnection()\n```\n```\nLoading library list...\nDone\n```\n\nDownload all S&P 500 constituents from between 2002-2007.\n```python\nfrom datetime import date\n\nwrds.set_observation_period(start_date=date(year=2002, month=1, day=1), \n                            end_date=date(year=2007, month=12, day=31))\nwrds.build_sp500()\nwrds.add_names()\nsp500 = wrds.return_dataframe()\n```\n\nSave your sample to a .csv and excel file.\n```python\nsp500.to_csv('sp500.csv')\nsp500.to_excel('sp500.xlsx')\n```\n\nRun custom wrds queries.\n```python\ndb = wrds.db\n\nKLD_ratings = db.get_table('kld', 'history')\n\n# get some basic financials\nfunda = db.raw_sql('select GVKEY, FYEAR, FIC, REVT, SALE, EMP, GP, CURCD from compa.funda')\n```\n\n\n",
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