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Merge pull request #1516 from skoudoro/fix-install-cmd
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[DOC] Installation instruction update
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arokem committed May 11, 2018
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Expand Up @@ -27,15 +27,11 @@ Using Anaconda:

On all platforms, you can use Anaconda_ to install DIPY. To do so issue the following command in a terminal::

conda install dipy -c conda-forge
conda install -c conda-forge dipy

Some of the visualization methods require the VTK_ library and this can be installed separately (for the time being only on Python 2.7 and Python 3.6)::

conda install -c conda-forge vtk

For OSX users, VTK_ is not available on conda-forge channel, so we recommend to use the following one::

conda install -c clinicalgraphics vtk
conda install vtk

Using packages:
===============
Expand Down Expand Up @@ -63,9 +59,9 @@ Windows

This should work with no error.

#. Some of the visualization methods require the VTK_ library and this can be installed using Anaconda_::
#. Some of the visualization methods require the VTK_ library and this can be installed by doing ::

conda install -c conda-forge vtk
pip install vtk


OSX
Expand All @@ -89,9 +85,9 @@ OSX

This should work with no error.

#. Some of the visualization methods require the VTK_ library and this can be installed using Anaconda_::
#. Some of the visualization methods require the VTK_ library and this can be installed by doing::

conda install -c clinicalgraphics vtk
pip install vtk

Linux
-----
Expand Down Expand Up @@ -166,7 +162,7 @@ DIPY can process large diffusion datasets. For this reason we recommend using a
Note on python versions
-----------------------

Most of the functionality in DIPY supports versions of Python from 2.6 to 3.5.
Most of the functionality in DIPY supports versions of Python from 2.6 to 3.6.
However, some visualization functionality depends on VTK_, which currently does not work with Python 3 versions.
Therefore, if you want to use the visualization functions in DIPY, please use it with Python 2.

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