Feedback from the Summer 2021 DEVELOP workshop

[rbavery]

lesson review with @kwross @jdilger

Episode 5

• @kwross went through ~60% of Episode 5 in 50 minutes for an audience that was mostly new to Python prior to the previous days where the novice lesson was taught
• 10 minutes lost in beginning from setup issues
• we didn't teach Unix to leave more time for Git, Python, geo python
  • a large fraction of people foudn it easier to use windows anaconda prompt rather than install gitbash and go through anaconda setup on git bash
  • Kent taught setup in office hours with both gitbash and anaconda prompt open
  • he could skip gitbash setup and go straight to environment setup instructions for geospatial
• reached crs.area_of_use and discussing pyproj to view all crs info.

Episode 6 timings need to be updated

• 30 minutes total seems more reasonable, there's not nearly as much code as episode 5
• John spent 40 minutes on episode 6 so maybe this is a good estimate to start from
• SJER challenge has projection mismatch with variable names, double check all this part of the lesson

Future work

• feature request for reading in netcdfs from ARSET learner
• can we get an example netcdf or hdf dataset to work with @kwross?
  • need to include caveat that there's more work to do to associate projection info to an xarray dataset or dataarray representing these formats, and that you need to convert in memory to a rioxarray dataarray
• idea: show how to import modis ndvi for the HARV location remotely without local file
• whole episode on data access would be great
• list of options: opendap, cloud requester pays or cloud not requester pays,download from common providers

[rbavery]

much of these have been addressed except for a netcdf example. will make a new issue