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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.
The text was updated successfully, but these errors were encountered:
@nkorinek these are the packages I don't think we use:
As far as the jupyter environment, I am not sure if we need:
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:
The text was updated successfully, but these errors were encountered: