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<h3><a href="http://tablib.org">About Tablib</a></h3>
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<p>
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Tablib is an MIT Licensed format-agnostic tabular dataset library, written in Python. It allows you to import, export, and manipulate tabular data sets. Advanced features include, segregation, dynamic columns, tags & filtering, and seamless format import & export.
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</p>
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<h3>Feedback</h3>
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<p>
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Feedback is greatly appreciated. If you have any questions, comments,
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random praise, or anonymous threats, <a href="mailto:me@kennethreitz.com">
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shoot me an email</a>.
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</p>
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<h3>Useful Links</h3>
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<ul>
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<li><a href="http://tablib.org/">The Tablib Website</a></li>
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<li><a href="http://pypi.python.org/pypi/tablib">Tablib @ PyPI</a></li>
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<li><a href="http://github.com/kennethreitz/tablib">Tablib @ GitHub</a></li>
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<li><a href="http://github.com/kennethreitz/tablib/issues">Issue Tracker</a></li>
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</ul>
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<h3><a href="http://tablib.org">About Tablib</a></h3>
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<p>
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Tablib is an MIT Licensed format-agnostic tabular dataset library, written in Python. It allows you to import, export, and manipulate tabular data sets. Advanced features include, segregation, dynamic columns, tags & filtering, and seamless format import & export.
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</p>
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Tablib is an :ref:`MIT Licensed <mit>` format-agnostic tabular dataset library, written in Python. It allows you to import, export, and manipulate tabular data sets. Advanced features include, segregation, dynamic columns, tags & filtering, and seamless format import & export.
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::
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>>> data = tablib.Dataset(headers=['First Name', 'Last Name', 'Age'])
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>>> map(data.append, [('Kenneth', 'Reitz', 22), ('Bessie', 'Monke', 21)])
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>>> data.json
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[{"Last Name": "Reitz", "First Name": "Kenneth", "Age": 22}, {"Last Name": "Monke", "First Name": "Bessie", "Age": 21}]
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>>> data.yaml
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- {Age: 22, First Name: Kenneth, Last Name: Reitz}
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- {Age: 21, First Name: Bessie, Last Name: Monke}
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>>> data.xlsx
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<censored binary data>
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I recommend you start with :ref:`Installation <install>`.
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Testimonials
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------------
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