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doc: fixed links
Signed-off-by: Nick Papior <nickpapior@gmail.com>
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docs/index.rst

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@@ -104,7 +104,7 @@ To succesfully use `sisl` these Python packages must be installed:
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- `setuptools`_
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- `numpy`_ (`>=1.9`)
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- `scipy`_
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- `netcdf4-python`_
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- `netCDF4 <netcdf4-py_>`_
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API links

docs/installation.rst

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Installing sisl using PyPi can be done using
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pip install sisl
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.. code-block:: bash
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pip install sisl
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conda
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-----
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On conda sisl is also shipped in a developer installation for more
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up-to-date releases, this may be installed using:
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conda install -c zerothi sisl-dev
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.. code-block:: bash
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conda install -c zerothi sisl-dev
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Manuel installation
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Manual installation
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-------------------
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sisl may also be installed using the regular `setup.py` script.
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To do this the following packages are required to be in `PYTHONPATH`:
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- `six`_
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- `setuptools`_
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- `numpy`_
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- `scipy`_
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- `netCDF4`_
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- `setuptools`_
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- `netCDF4 <netcdf4-py_>`_
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- A fortran compiler
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If the above listed items are installed, sisl can be installed
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python setup.py install --prefix=<prefix>
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If the above listed items are installed, sisl can be installed by first
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downloading the latest release on `this page <gh-releases_>`_.
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Subsequently install sisl by
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.. code-block:: bash
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python setup.py install --prefix=<prefix>

docs/links.rst.dummy

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.. _six: https://pypi.python.org/pypi/six
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.. _setuptools: https://pypi.python.org/pypi/setuptools
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.. _NetCDF: https://www.unidata.ucar.edu/netcdf
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.. _netcdf4-python: http://github.com/Unidata/netcdf4-python
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.. _netcdf4-py: http://github.com/Unidata/netcdf4-python
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.. _numpy: http://github.com/numpy/numpy
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.. _scipy: http://github.com/scipy/scipy
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