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DOC: update install.rst to include ActivePython distribution (#19908)
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doc/source/install.rst

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@@ -12,7 +12,7 @@ cross platform distribution for data analysis and scientific computing.
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This is the recommended installation method for most users.
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Instructions for installing from source,
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`PyPI <http://pypi.python.org/pypi/pandas>`__, various Linux distributions, or a
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`PyPI <http://pypi.python.org/pypi/pandas>`__, `ActivePython <https://www.activestate.com/activepython/downloads>`__, various Linux distributions, or a
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`development version <http://github.com/pandas-dev/pandas>`__ are also provided.
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Python version support
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.. _install.anaconda:
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Installing pandas with Anaconda
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Installing with Anaconda
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~~~~~~~~~~~~~~~~~~~~~~~~
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Installing pandas and the rest of the `NumPy <http://www.numpy.org/>`__ and
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`SciPy <http://www.scipy.org/>`__ stack can be a little
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.. _install.miniconda:
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Installing pandas with Miniconda
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Installing with Miniconda
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~~~~~~~~~~~~~~~~~~~~~~~~~
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The previous section outlined how to get pandas installed as part of the
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`Anaconda <http://docs.continuum.io/anaconda/>`__ distribution.
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pip install pandas
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Installing with ActivePython
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Installation instructions for `ActivePython <https://www.activestate.com/activepython>`__ can be found `here <https://www.activestate.com/activepython/downloads>`__.
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Installing using your Linux distribution's package manager.
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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See the :ref:`contributing documentation <contributing>` for complete instructions on building from the git source tree. Further, see :ref:`creating a development environment <contributing.dev_env>` if you wish to create a *pandas* development environment.
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Running the test suite
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~~~~~~~~~~~~~~~~~~~~~~
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----------------------
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pandas is equipped with an exhaustive set of unit tests, covering about 97% of
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the codebase as of this writing. To run it on your machine to verify that
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Without the optional dependencies, many useful features will not
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work. Hence, it is highly recommended that you install these. A packaged
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distribution like `Anaconda <http://docs.continuum.io/anaconda/>`__, or `Enthought Canopy
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distribution like `Anaconda <http://docs.continuum.io/anaconda/>`__, `ActivePython <https://www.activestate.com/activepython/downloads>`__, or `Enthought Canopy
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<http://enthought.com/products/canopy>`__ may be worth considering.

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