This is a jupyter (https://jupyter.org/) notebook containing a crash
course in the use of the python library for Virtual Observatory
(https://ivoa.net) access, pyVO.

Starting from a simple image search, it goes on to show how to do
all-VO searches and how to add a simple interface to other VO clients
using SAMP. To illustrate more complex workflows, the notebook concludes
with a SAMP client of its own, automatically retrieving reference data
for objects selected in other SAMP clients.


BEFORE COMMITTING CHANGES OF THE NOTEBOOK TO SVN, CLEAR ALL OUTPUTS BY RUNNING:
$ python3 remove_ipynb_outputs.py pyvo.ipynb


Distributed under CC0 by GAVO.

Contact: gavo@ari.uni-heidelberg.de