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        "author": "Gabriel Rodr\u00edguez Alberich",
        "author_email": "gabi@gabi.is",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.3",
            "Topic :: Internet :: WWW/HTTP :: Dynamic Content",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "A Pythonic wrapper for the Nobel Prize API\n==========================================\n\nA simple Python wrapper for the `Nobel Prize\nAPI <http://www.nobelprize.org/nobel_organizations/nobelmedia/nobelprize_org/developer/>`__.\n\nQuickstart\n----------\n\nFirst, initialize the API wrapper:\n\n.. code:: python\n\n    import nobel\n    api = nobel.Api()\n\nNow you have access to the resources defined by the API (``prizes``,\n``laureates`` and ``countries``) and their methods.\n\nFor example, to list all laureates:\n\n.. code:: python\n\n    >>> for laureate in api.laureates.all():\n    ...     print '%s (%s)' % (laureate, laureate.born_country)\n\nTo filter (check the `Nobel Prize\nAPI <http://www.nobelprize.org/nobel_organizations/nobelmedia/nobelprize_org/developer/>`__\ndocumentation for all available filtering parameters):\n\n.. code:: python\n\n    >>> api.laureates.filter(gender='female', born_country='Iran')\n    [<Laureate id=773>, <Laureate id=817>]\n    >>> api.prizes.filter(year=1969)\n    [<Prize category=\"physics\" year=1969>, <Prize category=\"chemistry\" year=1969>,\n    <Prize category=\"medicine\" year=1969>, <Prize category=\"literature\" year=1969>,\n    <Prize category=\"peace\" year=1969>, <Prize category=\"economics\" year=1969>]\n\nTo retrieve a single resource:\n\n.. code:: python\n\n    >>> laureate = api.laureates.get(id=26)\n    >>> laureate.firstname\n    u'Albert'\n    >>> laureate.surname\n    u'Einstein'\n    >>> laureate.prizes\n    [<Prize category=\"physics\" year=1921>]\n    >>> laureate.born_country\n    <Country code=\"DE\" name=\"Germany\">\n    >>> laureate.died_country\n    <Country code=\"US\" name=\"USA\">\n\n    >>> prize = api.prizes.get(year=2000, category='economics')\n    >>> print \", \".join([str(l) for l in prize.laureates])\n    James J. Heckman, Daniel L. McFadden\n\nAs you can see, every ``Prize`` object is given a ``laureates``\nattribute populated with a list of its ``Laureate`` objects. Likewise,\nevery ``Laureate`` objects is given a ``prizes`` attribute with\n``Prize`` objects.\n\nAttributes and query parameters in the Nobel Prize API are\n``mixedCase``, but this wrapper uses the more pythonic\n``lower_case_with_underscores`` style and takes care of the conversion\nwhen filtering and accessing attributes.\n\nInstallation\n------------\n\nTo install Nobel, simply:\n\n.. code:: sh\n\n    $ pip install nobel\n\nTODO\n----\n\n-  Documentation and full reference\n-  Tests\n-  More ORM-ish stuff, like filtering using Prize, Laureate or Country\n   objects as arguments\n-  Add relation attributes, like affiliations.\n\nCredits\n-------\n\nThis is inspired by the beautifully written\n`hipchat-api <https://github.com/dobarkod/hipchat-api>`__ wrapper.",
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