| getting_started
| connecting
| installing
| license
| documentation <https://geoana.simpeg.xyz/>
_ |
.. image:: https://img.shields.io/pypi/v/geoana.svg :target: https://pypi.python.org/pypi/geoana :alt: Latest PyPI version
.. image:: https://anaconda.org/conda-forge/geoana/badges/version.svg :target: https://anaconda.org/conda-forge/geoana :alt: Latest conda-forge version
.. image:: https://img.shields.io/github/license/simpeg/geoana.svg :target: https://github.com/simpeg/geoana/blob/main/LICENSE :alt: MIT license
.. image:: https://codecov.io/gh/simpeg/geoana/branch/main/graph/badge.svg :target: https://codecov.io/gh/simpeg/geoana :alt: Coverage status
geoana
is a collection of (mostly) analytic functions in geophysics. We take an object oriented
approach with the aim of having users be able to readily interact with the functions using Jupyter <https://jupyter.org>
_
.. _getting_started:
anaconda <https://www.anaconda.com/download/>
_installing
_ geoana
gallery <https://geoana.simpeg.xyz/auto_examples/>
_ for ideas and example usagedocumentation <https://geoana.simpeg.xyz/>
_ for more information on the library and what it can do.. - See the contributor guide
and code of conduct
if you are interested in helping develop or maintain geoana
.. _connecting:
geoana is a part of the larger SimPEG <https://simpeg.xyz>
_ ecosystem. There are several avenues for connecting:
GeoSci.xyz <https://www.youtube.com/channel/UCBrC4M8_S4GXhyHht7FyQqw>
_.. _installing:
geoana is on conda-forge
.. code:: shell
conda install -c conda-forge geoana
geoana is available on pypi <https://pypi.org/project/geoana/>
_ and can be installed by opening a command window and running:
.. code::
pip install geoana
To install from source, you can
.. code::
git clone https://github.com/simpeg/geoana.git
python setup.py install
.. _license:
geoana is licensed under the MIT license <https://github.com/simpeg/geoana/blob/master/LICENSE>
_ .