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DOC: small clean ups (#37412)
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doc/source/getting_started/install.rst

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@@ -28,20 +28,20 @@ Installing pandas
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Installing with Anaconda
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~~~~~~~~~~~~~~~~~~~~~~~~
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Installing pandas and the rest of the `NumPy <https://www.numpy.org/>`__ and
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`SciPy <https://www.scipy.org/>`__ stack can be a little
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Installing pandas and the rest of the `NumPy <https://numpy.org/>`__ and
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`SciPy <https://scipy.org/>`__ stack can be a little
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difficult for inexperienced users.
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The simplest way to install not only pandas, but Python and the most popular
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packages that make up the `SciPy <https://www.scipy.org/>`__ stack
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(`IPython <https://ipython.org/>`__, `NumPy <https://www.numpy.org/>`__,
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packages that make up the `SciPy <https://scipy.org/>`__ stack
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(`IPython <https://ipython.org/>`__, `NumPy <https://numpy.org/>`__,
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`Matplotlib <https://matplotlib.org/>`__, ...) is with
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`Anaconda <https://docs.continuum.io/anaconda/>`__, a cross-platform
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(Linux, Mac OS X, Windows) Python distribution for data analytics and
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(Linux, macOS, Windows) Python distribution for data analytics and
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scientific computing.
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After running the installer, the user will have access to pandas and the
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rest of the `SciPy <https://www.scipy.org/>`__ stack without needing to install
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rest of the `SciPy <https://scipy.org/>`__ stack without needing to install
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anything else, and without needing to wait for any software to be compiled.
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Installation instructions for `Anaconda <https://docs.continuum.io/anaconda/>`__
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Package Minimum supported version
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================================================================ ==========================
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`setuptools <https://setuptools.readthedocs.io/en/latest/>`__ 24.2.0
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`NumPy <https://www.numpy.org>`__ 1.16.5
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`NumPy <https://numpy.org>`__ 1.16.5
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`python-dateutil <https://dateutil.readthedocs.io/en/stable/>`__ 2.7.3
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`pytz <https://pypi.org/project/pytz/>`__ 2017.3
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================================================================ ==========================

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