Modify base conda environment

ESIPFed / esiphub-dev

Development JupyterHub on AWS targeting pangeo environment for National Water Model exploration

MIT License

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Closed rsignell-usgs closed 6 years ago

rsignell-usgs commented 6 years ago

The base conda environment is missing nb_conda_kernels, which would allow us to pick alternate kernels (environments) from Jupyter.

It also might be helpful if the base environment included:

conda install xarray boto3 zarr s3fs nb_conda_kernels gcsfs nb_conda_kernels

rsignell-usgs commented 6 years ago

@jreadey , can you please add nb_conda_kernels to the base conda environment ASAP?

jreadey commented 6 years ago

Looking at this now.

gcsfs wouldn't make sense for an AWS deployment would it?

rsignell-usgs commented 6 years ago

Yes, even though we are on AWS, we want to be able to read data written by the pangeo instance on GCE onto GCS.

jreadey commented 6 years ago

Packages are installed. Let me know if everything works for you.

rsignell-usgs commented 6 years ago

Yes! It's working! Woohoo!!!!

2018-04-11_20-44-34