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xvrl committed Oct 1, 2015
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2 changes: 1 addition & 1 deletion docs/source/index.rst
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Expand Up @@ -8,7 +8,7 @@ Welcome to pydruid's documentation

pydruid exposes a simple API to create, execute, and analyze `Druid <http://druid.io/>`_ queries. pydruid can parse query results into `Pandas <http://pandas.pydata.org/>`_ DataFrame objects for subsequent data analysis, which offers a tight integration between `Druid <http://druid.io/>`_, the `SciPy <http://www.scipy.org/stackspec.html>`_ stack (for scientific computing) and `scikit-learn <http://scikit-learn.org/stable/>`_ (for machine learning). Additionally, pydruid can export query results into TSV or JSON for further processing with your favorite tool, e.g., R, Julia, Matlab, or Excel.

Below is a reference for the PyDruid class, describing the functions to use for querying and exporting, complete with examples. For additional examples, see the `pydruid README <https://github.com/metamx/pydruid>`_.
Below is a reference for the PyDruid class, describing the functions to use for querying and exporting, complete with examples. For additional examples, see the `pydruid README <https://github.com/druid-io/pydruid>`_.

PyDruid Reference
=================
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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -35,7 +35,7 @@ def run_tests(self):
url='http://pypi.python.org/pypi/pydruid/',
license='Apache License, Version 2.0',
description='A Python connector for Druid.',
long_description='See https://github.com/metamx/pydruid for more information.',
long_description='See https://github.com/druid-io/pydruid for more information.',
install_requires=install_requires,
tests_require=['pytest'],
cmdclass={'test': PyTest},
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