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        "author": "George Y. Kussumoto",
        "author_email": "contato@georgeyk.com.br",
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            "Development Status :: 3 - Alpha",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: Information Technology",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Topic :: Internet :: WWW/HTTP :: Dynamic Content"
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        "description": "# dadosgovbr\n\n[![PyPI version](https://badge.fury.io/py/dadosgovbr.svg)](http://badge.fury.io/py/dadosgovbr)\n[![Build Status](https://travis-ci.org/georgeyk/dadosgovbr.svg?branch=master)](https://travis-ci.org/georgeyk/dadosgovbr)\n[![Coverage Status](https://coveralls.io/repos/georgeyk/dadosgovbr/badge.svg?branch=master)](https://coveralls.io/r/georgeyk/dadosgovbr?branch=master)\n\n\n---\n\nA library to programatically explore the Brazilian open data program.\n\nMore details at [dados.gov.br][1]\n\n## Motivation\n\nBasically, I did this library because their web interface was broken for me, specially the search feature.\n\nAlso, I feel more confortable exploring the data using a python shell with all the libraries available to handle json,\ncsv and so on.\n\n\n## Install\n\nAvailable in PyPi, just:\n\n```shell\n$ pip install dadosgovbr\n```\n\n\n## Examples\n\nThe library just provides an \"object-wrapping\" for the API results, so we can access every attribute as we\ninspect any regular python object:\n\n```python\n\n>>> from dadosgovbr import DadosGovBR\n>>> api = DadosGovBR()\n>>> api.get_tag('VT')\nTag(vocabulary_id=None, packages=<generator object model_list_factory at 0x7f7dac17af00>, display_name=u'VT',\nid=u'41a7ab78-3cec-44a3-b2c3-ca15ad55a50f', name=u'VT')\n```\n\nCheck the tests directory for more examples, like [this one][2].\n\n\n## NOTE\n\nThis is very *work-in-progress* lib.\nContributions are super-welcome. =)\n\n## Development\n\n1. fork the project\n2. create virtualenv (optional)\n3. pip install -r requirements-devel.txt\n4. pre-commit install\n5. tox\n\n\n[1]: http://dados.gov.br/dataset\n[2]: example.py\n\n\n## History\n\n## 0.1.3\n\n* First tag release\n* Bug fixes\n\n## 0.1.2\n\n* Improve test coverage\n* Minor fixes\n\n## 0.1.1\n\n* Fix import errors\n\n## 0.1.0\n\n* Initial release",
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