A task for the HoloViz group as part of the PangeoML project is to put together examples using the HoloViz tools supporting Geo-Machine Learning oriented workflows. And when need be, improve the existing tools to better support these workflows. Such content has already produced a couple of years ago part of the EarthML project.
Besides that task, in the Python ecosystem several projects are tackling a similar issue, i.e. producing and maintaining examples in this domain. This includes Project Pythia and the Pangeo Gallery. Members of this project have met in September 2022 to discuss about best practices and a way forward. One of the outcome of this discussion was that Project Pythia is the best equipped to accept and maintain examples (and that new developments are required to improve the workflow)
The tasks for the HoloViz groups are then:
[ ] Go through EarthML's content and see what's already at Pythia, to see how relevant EarthML's content is, since it's a few years old now.
If it's relevant:
[ ] Update the notebooks to current best practices (showing off any HoloViz improvements since then)
[ ] Work with Pythia to get them into a Cookbook or wherever else they make sense in Pythia.
A task for the HoloViz group as part of the PangeoML project is to put together examples using the HoloViz tools supporting Geo-Machine Learning oriented workflows. And when need be, improve the existing tools to better support these workflows. Such content has already produced a couple of years ago part of the EarthML project. Besides that task, in the Python ecosystem several projects are tackling a similar issue, i.e. producing and maintaining examples in this domain. This includes Project Pythia and the Pangeo Gallery. Members of this project have met in September 2022 to discuss about best practices and a way forward. One of the outcome of this discussion was that Project Pythia is the best equipped to accept and maintain examples (and that new developments are required to improve the workflow)
The tasks for the HoloViz groups are then:
cc @jbednar