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@nkorinek these are the packages I don't think we use:
- pyqt
- tqdm
- kiwisolver
- plotly (we could discuss this...I know some people like it, but I can just never understand how they are supposed to work business- and license-wise so I don't love teaching it to students)
- pysal (maybe we should be using this? I think most of what it does we handle through rioxarray and scikit-learn)
- geopy
- descartes
- contextily
- mapboxgl
- geocoder
- tweepy
- netcdf4 (I think rioxarray covers this? but maybe it's needed as a back end)
- nltk
- textblob
As far as the jupyter environment, I am not sure if we need:
- autopep8 (really I'm just not sure it works with the new jupyter release?)
- ipython
- jupyter_contrib_nbextensions (again, I don't think this works with the new jupyter extension system)
- nbclean
- nbresuse
I've also removed matplotcheck. But we maybe should put that back in, because I have some testing utilities that I'm copying and pasting around that would be nice to automate, and that package might be a good spot to keep that stuff.
In addition:
- rasterstats could probably be replaced by zonal_statistics from xarray-spatial and built-in xarray interpolation tools
- regionmask is not super active. But it works last I checked, and I don't know of anything else that does the same thing.
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