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        "author": "John Bjorn Nelson",
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        "description": "# What is this?\n\nA tiny, `subprocess`-based tool for reading a \n[MS Access](https://products.office.com/en-us/access) \ndatabase (`.rdb`) as a [Pandas](http://pandas.pydata.org/) \n[DataFrame](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html). \n\n## Installation\n\nTo read the database, this package (thinly!) wraps \n[MDBTools](http://mdbtools.sourceforge.net/). Since I assume you're already \nusing Pandas, it should be your only installation requirement. \n\nIf you are on `OSX`, install it via [Homebrew](http://brew.sh/):\n\n```sh\n$ brew install mdbtools\n```\nThen, do,\n```sh\n$ pip install pandas_access\n```\n\n## Usage\n\n```python\nimport pandas_access as mdb\n\n# Listing the tables.\nfor tbl in mdb.list_tables(\"my.mdb\"):\n    print(tbl)\n    \n# Read a small table.\ndf = pandas_access.read_table(\"my.mdb\", \"MyTable\")\n\n# Read a huge table.\naccumulator = []\nfor chunk in pandas_access.read_table(\"my.mdb\", \"MyTable\", chunksize=10000):\n    accumulator.append(f(chunk))\n```\n\nIf you need more power than this, see: \n[pyodbc](https://github.com/mkleehammer/pyodbc).\n\n## Testing\n\nI needed this code in a quick pinch -- I had no access to MS Access, and I had\na single `.mdb` file. If someone with Access would like to create a tiny \ndatabase for unit-testing purposes, I'd be much obliged.",
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