install.rst
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			****************
			Getting GooseFEM
			****************

			Using conda
			===========

			The easiest is to use conda to install GooseFEM::

			conda install -c conda-forge goosefem

			This will install all the necessary runtime dependencies as well.

			.. tip::

			The runtime dependencies (for both the C++ and the Python APIs) are also listed in
			``environment.yaml``.
			One could install those dependencies in an activated environment by:

			.. code-block:: cpp

			conda env update --file environment.yaml

			In addition, one could further extend one's environment
			to also run the tests and the examples using:

			.. code-block:: cpp

			conda env update --file environment_test.yaml
			conda env update --file environment_examples.yaml

			Note that ``environment_test.yaml`` and ``environment_examples.yaml`` extend the environment.
			In each case one also has to install the dependencies in ``environment.yaml``.


			From source
			===========

			Download the package::

			git checkout https://github.com/tdegeus/GooseFEM.git
			cd GooseFEM

			Install headers, CMake and pkg-config support::

			cmake .
			make install


			Python interface
			================

			Using conda
			^^^^^^^^^^^

			The quickest (but not the most efficient!) is to use conda to install GooseFEM::

			conda install -c conda-forge python-goosefem

			.. warning::

			This package does not benefit from xsimd optimisation,
			as it is not compiled on your hardware.
			You'll have to compile by hand to benefit from xsimd optimisation.

			From source
			^^^^^^^^^^^

			Start by installing the dependencies, for example using conda::

			conda install -c conda-forge pyxtensor eigen xsimd

			Note that xsimd is optional, but recommended.

			.. note::

			You can also use::

			python -m pip install pyxtensor pybind11

			for use without conda. Note that you install Eigen and xsimd yourself
			in such a way that Python can find it in order to use it.

			Then, download the package::

			git checkout https://github.com/tdegeus/GooseFEM.git
			cd GooseFEM

			Install the package using::

			python -m pip install .

			.. note::

			The following will give more readable output::

			python setup.py build
			python setup.py install

rGOOSEFEM/docs/install.rste8b106c71404neighbour

install.rstView Options

rGOOSEFEM/docs/install.rst
e8b106c71404neighbour

install.rst
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