Dedalus Project
***************

Dedalus is a flexible framework for solving partial differential equations using spectral methods.
The code is open-source and developed by a team of researchers studying astrophysical, geophysical, and biological fluid dynamics.

Dedalus is written primarily in Python and features an easy-to-use interface with symbolic equation entry.
Our numerical algorithm produces sparse systems for a wide variety of equations and spectrally-discretized domains.
These systems are efficiently solved using compiled libraries and are automatically parallelized using MPI.

Doc Contents
============

.. toctree::
    :maxdepth: 2

    pages/installation
    pages/tutorials
    pages/user_guide
    pages/methodology
    Dedalus API reference <autoapi/dedalus/index>

Links
=====

* Project homepage: http://dedalus-project.org
* Code repository: https://github.com/DedalusProject/dedalus
* Documentation: http://dedalus-project.readthedocs.org
* Mailing list: https://groups.google.com/forum/#!forum/dedalus-users

Developers
==========

* `Keaton Burns <http://keaton-burns.com/>`_
* `Geoff Vasil <https://www.sydney.edu.au/science/about/our-people/academic-staff/geoffrey-vasil.html>`_
* `Jeff Oishi <https://jsoishi.github.io/>`_
* `Daniel Lecoanet <https://people.esam.northwestern.edu/~lecoanet/>`_
* `Ben Brown <https://bpbrown.bitbucket.io/>`_