{ "info": { "author": "Ian Shiland, Jeremy Neiman", "author_email": "ishiland@gmail.com", "bugtrack_url": null, "classifiers": [ "Operating System :: Microsoft :: Windows", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7" ], "description": "# python-geosupport \n\n[![Build status](https://ci.appveyor.com/api/projects/status/5uocynec8e3maeeq?svg=true&branch=master)](https://ci.appveyor.com/project/ishiland/python-geosupport) [![PyPI version](https://img.shields.io/pypi/v/python-geosupport.svg)](https://pypi.python.org/pypi/python-geosupport/) [![Python 2.7 | 3.4+](https://img.shields.io/badge/python-2.7%20%7C%203.4+-blue.svg)](https://www.python.org/downloads/release/python-360/) \n\n\nPython bindings for NYC Planning's [Geosupport Desktop Edition](https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-gde-home.page).\n\n### [Read the docs](https://python-geosupport.readthedocs.io/en/latest/) \n\n## Quickstart\n\n```python\n# Import the library and create a `Geosupport` object.\nfrom geosupport import Geosupport\ng = Geosupport()\n\n# Call the address processing function by name\nresult = g.address(house_number=125, street_name='Worth St', borough_code='Mn')\n```\n\n`result` is a dictionary with the output from Geosupport. 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