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DOC: more installation fixes
Remove any reference to easy_install
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doc/users/installation.rst

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@@ -58,13 +58,16 @@ Recommended::
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For OSX
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^^^^^^^
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Install Python, Numpy, and Scipy via their respective ``dmg`` installers.
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We recommend you install Python either via the installers available via
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https://python.org, or via Homebrew (http://brew.sh/).
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Install via distribute_ / setuptools_ and ``easy_install``. See the distribute_
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page for how to install ``easy_install`` and related tools. Then (from the
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command prompt)::
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Next install numpy, scipy and sympy::
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easy_install nipy
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pip install numpy scipy sympy
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Finally, install nipy::
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pip install nipy
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For Windows
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^^^^^^^^^^^
@@ -104,22 +107,15 @@ Do all the installs by hand:
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your windows path.
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* Download Numpy and Scipy ``exe`` installers for your Python version from their
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respective Numpy and Scipy download sites.
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* Install distribute_ to give you ``easy_install``.
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* Install pip_ using ``easy_install`` from a windows ``cmd`` shell::
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easy_install pip
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* Install pip_ using by following the instructions at : http://pip.readthedocs.org/en/stable/installing
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* Install sympy and nibabel using pip from a window ``cmd`` shell::
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pip install sympy
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pip install nibabel
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* On 32-bit Windows, install nipy using ``easy_install``::
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easy_install nipy
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This will pick up and use the ``exe`` installer. For 64-bits install use the
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installer at the `unofficial windows binaries`_ site.
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* On 32-bit Windows, download and install the ``.exe`` installer from `nipy
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pypi`_. For 64-bits install use the installer at the `unofficial windows
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binaries`_ site.
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Otherwise
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^^^^^^^^^
@@ -158,7 +154,7 @@ documentation. There you will find information on building NIPY, the
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required software packages and our developer guidelines.
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If you are primarily interested in using NIPY, download the source
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tarball from `nipy pypi` and follow these instructions for building. The
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tarball from `nipy pypi`_ and follow these instructions for building. The
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installation process is similar to other Python packages so it will be familiar
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if you have Python experience.
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