Courses
=======

The VM combines various software packages, course materials and sample data.

The courses are based on `IPython notebook <https://jupyter.org/>`_.
The material has been evolving since the very first "Open Source Radar Short Course" at
`ERAD 2014 <http://www.pa.op.dlr.de/erad2014/>`_. Since then, several courses
have been carried out at ERAD and AMS meeting as well as other occasions.

See :doc:`here <quickstart>` how to start a ``jupyter`` server and access the course material on the VM.

You can also access the repositories with course materials directly:

* `Py-ART course <https://github.com/openradar/AMS-Short-Course-on-Open-Source-Radar-Software>`_
* `wradlib course <https://github.com/wradlib/wradlib-notebooks>`_
* `BALTRAD course <https://github.com/DanielMichelson/baltrad_short_course>`_
* `BALTRAD 2 wradlib interoperability demo <https://github.com/DanielMichelson/baltrad2wradlib>`_
* `Py-ART 2 BALTRAD interoperability demo <https://github.com/jjhelmus/pyart2baltrad>`_
* `Radx course <https://github.com/heistermann/radx_short_course>`_ *(as yet very brief)*
* `PyTMatrix course <https://github.com/DaveOri/tmatrix_course>`_