navo-workshop
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NASA-NAVO
Tutorial notebooks for how to use PyVO to access NASA and other data in Python.
links are https://nasa-navo.github.io/navo-workshop/CS_Image_Access.html?highlight=registry#1.--Finding-SIA-resources-from-the-Registry vs https://nasa-navo.github.io/navo-workshop/CS_Image_Access.html?highlight=registry#finding-sia-resources-from-the-registry
When a service is down (e.g., returns 5xx response status) our notebooks fail in pretty ugly ways. Even if we want to minimize the code in the notebooks, we should...
To separate the content from the site and from the infrastructure. Some other projects have some nice logic to follow for directory structure, e.g. https://github.com/networkx/nx-guides or https://github.com/numpy/numpy-tutorials
connection / remote service issues are often run into with CI, we may want to make the examples more roboust (maybe there are timeouts we can extend). as for the...
Running some cells in the notebooks produce warnings: ``` WARNING: UnitsWarning: Unit 'degree' not supported by the VOUnit standard. [astropy.units.format.vounit] WARNING: UnitsWarning: Unit 'mjd' not supported by the VOUnit standard....
These render out super nice and I think we should use them: https://jupyterbook.org/en/stable/reference/cheatsheet.html#admonitions The figure directive is rather useful, too.
If we add a link for how to report issues and bugs to the notebooks or pyvo or astroquery etc, it's more likely that people will actually report those. Therefore...
Create and document registry search workflow that shows auxiliary capabilities according to best practices above, OR if currently impossible propose improvements to underlying pyvo search capabilities to do so. See...
Include in the quick reference a line on converting the VO table to a Pandas data frame.
Refer to Astropy docs, and give examples such as filtering and sorting HLA SIA results by PI or spectral element.