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Removed binary dependencies
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This is not required since we are now available on conda-forge
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LaurentRDC committed Jun 15, 2018
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18 changes: 0 additions & 18 deletions README.rst
Expand Up @@ -48,24 +48,6 @@ After installing scikit-ued you can use it like any other Python module as ``sku
Each version is tested against **Python 3.6**. If you are using a different version, tests can be run
using the standard library's `unittest` module.

Installation on Windows
-----------------------

Some of scikit-ued's dependencies require compilation. If you are experiencing problems installing scikit-ued on Windows, here are some potential solutions:

* Install a C/C++ compiler. The easiest way to do so is to install the `Visual Studio Build Tools <https://www.visualstudio.com/downloads/?q=build+tools>`_. More information is available on the `Python Wiki <https://wiki.python.org/moin/WindowsCompilers>`_. Don't forget to upgrade setuptools to the latest version as well to avoid common problems::

pip install --upgrade setuptools

* Download the wheels from scikit-ued's `wheelhouse <https://github.com/LaurentRDC/scikit-ued/tree/master/wheelhouse>`_. These are pre-compiled dependencies that will only work on Windows. To install a wheel, you can use pip::

pip install some-pkg.whl

* Install the dependencies using the `conda package manager <https://conda.io/docs/>`_. Most notably, spglib and pycifrw are both available in the conda-forge channel::

conda config --add channels conda-forge
conda install spglib pycifrw numpy scipy ...

Optional dependencies
---------------------

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16 changes: 0 additions & 16 deletions docs/source/installation.rst
Expand Up @@ -33,22 +33,6 @@ repository::
cd scikit-ued
python setup.py install

Installation on Windows
-----------------------

Some of scikit-ued's dependencies require compilation.

If you are experiencing problems installing scikit-ued on Windows, you should consider installing scikit-ued from the conda package manager.
If you are unable to do this, here are some options:

* Install a C/C++ compiler. The easiest way to do so is to install the `Visual Studio Build Tools <https://www.visualstudio.com/downloads/?q=build+tools>`_. More information is available on the `Python Wiki <https://wiki.python.org/moin/WindowsCompilers>`_. Don't forget to upgrade setuptools to the latest version as well to avoid common problems::

pip install --upgrade setuptools

* Download the wheels from scikit-ued's `wheelhouse <https://github.com/LaurentRDC/scikit-ued/tree/master/wheelhouse>`_. These are pre-compiled dependencies that will only work on Windows. To install a wheel, you can use pip::

pip install some-pkg.whl

Testing
=======

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