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        "author": "GeoPy Contributors",
        "author_email": "uijllji@gmail.com",
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            "Development Status :: 5 - Production/Stable",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
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            "Programming Language :: Python :: 3.6",
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        "description": "geopy\n=====\n\n.. image:: https://img.shields.io/pypi/v/geopy.svg?style=flat-square\n    :target: https://pypi.python.org/pypi/geopy/\n    :alt: Latest Version\n\n.. image:: https://img.shields.io/travis/geopy/geopy.svg?style=flat-square\n    :target: https://travis-ci.org/geopy/geopy\n    :alt: Build Status\n\n.. image:: https://img.shields.io/github/license/geopy/geopy.svg?style=flat-square\n    :target: https://pypi.python.org/pypi/geopy/\n    :alt: License\n\n\ngeopy is a Python 2 and 3 client for several popular geocoding web\nservices.\n\ngeopy makes it easy for Python developers to locate the coordinates of\naddresses, cities, countries, and landmarks across the globe using\nthird-party geocoders and other data sources.\n\ngeopy includes geocoder classes for the `OpenStreetMap Nominatim`_,\n`Google Geocoding API (V3)`_, and many other geocoding services.\nThe full list is available on the `Geocoders doc section`_.\nGeocoder classes are located in `geopy.geocoders`_.\n\n.. _OpenStreetMap Nominatim: https://wiki.openstreetmap.org/wiki/Nominatim\n.. _Google Geocoding API (V3): https://developers.google.com/maps/documentation/geocoding/\n.. _Geocoders doc section: https://geopy.readthedocs.io/en/latest/#geocoders\n.. _geopy.geocoders: https://github.com/geopy/geopy/tree/master/geopy/geocoders\n\ngeopy is tested against CPython (versions 2.7, 3.4, 3.5, 3.6, 3.7), PyPy, and\nPyPy3. geopy does not and will not support CPython 2.6.\n\n\u00a9 geopy contributors 2006-2018 (see AUTHORS) under the `MIT\nLicense <https://github.com/geopy/geopy/blob/master/LICENSE>`__.\n\nInstallation\n------------\n\nInstall using `pip <http://www.pip-installer.org/en/latest/>`__ with:\n\n::\n\n    pip install geopy\n\nOr, `download a wheel or source archive from\nPyPI <https://pypi.python.org/pypi/geopy>`__.\n\nGeocoding\n---------\n\nTo geolocate a query to an address and coordinates:\n\n.. code:: python\n\n    >>> from geopy.geocoders import Nominatim\n    >>> geolocator = Nominatim(user_agent=\"specify_your_app_name_here\")\n    >>> location = geolocator.geocode(\"175 5th Avenue NYC\")\n    >>> print(location.address)\n    Flatiron Building, 175, 5th Avenue, Flatiron, New York, NYC, New York, ...\n    >>> print((location.latitude, location.longitude))\n    (40.7410861, -73.9896297241625)\n    >>> print(location.raw)\n    {'place_id': '9167009604', 'type': 'attraction', ...}\n\nTo find the address corresponding to a set of coordinates:\n\n.. code:: python\n\n    >>> from geopy.geocoders import Nominatim\n    >>> geolocator = Nominatim(user_agent=\"specify_your_app_name_here\")\n    >>> location = geolocator.reverse(\"52.509669, 13.376294\")\n    >>> print(location.address)\n    Potsdamer Platz, Mitte, Berlin, 10117, Deutschland, European Union\n    >>> print((location.latitude, location.longitude))\n    (52.5094982, 13.3765983)\n    >>> print(location.raw)\n    {'place_id': '654513', 'osm_type': 'node', ...}\n\nMeasuring Distance\n------------------\n\nGeopy can calculate geodesic distance between two points using the\n`geodesic distance\n<https://en.wikipedia.org/wiki/Geodesics_on_an_ellipsoid>`_ or the\n`great-circle distance\n<https://en.wikipedia.org/wiki/Great-circle_distance>`_,\nwith a default of the geodesic distance available as the function\n`geopy.distance.distance`.\n\nHere's an example usage of the geodesic distance:\n\n.. code:: python\n\n    >>> from geopy.distance import geodesic\n    >>> newport_ri = (41.49008, -71.312796)\n    >>> cleveland_oh = (41.499498, -81.695391)\n    >>> print(geodesic(newport_ri, cleveland_oh).miles)\n    538.390445368\n\nUsing great-circle distance:\n\n.. code:: python\n\n    >>> from geopy.distance import great_circle\n    >>> newport_ri = (41.49008, -71.312796)\n    >>> cleveland_oh = (41.499498, -81.695391)\n    >>> print(great_circle(newport_ri, cleveland_oh).miles)\n    536.997990696\n\nDocumentation\n-------------\n\nMore documentation and examples can be found at\n`Read the Docs <http://geopy.readthedocs.io/en/latest/>`__.\n\n\n",
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