Add icepyx and other basic pangeo/pydata packages

[weiji14]

Include more Cryosphere-focused packages (e.g. icepyx) in the docker image, and throw in a few others from the scientific Pangeo/PyData ecosystem.

Once the conda/environmen.yml file is updated with new dependencies, the lockfiles (conda/conda-lock.yml and conda/conda-linux-64.lock.yml) are generated using:

cd conda/
./lock-environment.sh

TODO:

• Commit the conda-lock generated *.lock files used for reproducing the software environment exactly
• Add Cryo-specific Python packages like icepyx

Continuation of #2, part of #1.

[github-actions]

👈 Launch a binder notebook on this branch

[weiji14]

point_left Launch a binder notebook on this branch

Tested this on binder, and import icepyx now works. For reference, here's the output of import xarray as xr; xr.show_versions() that shows other PyData packages installed/not-installed:

INSTALLED VERSIONS
------------------
commit: None
python: 3.9.13 | packaged by conda-forge | (main, May 27 2022, 16:56:21) 
[GCC 10.3.0]
python-bits: 64
OS: Linux
OS-release: 5.4.188+
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.2
libnetcdf: 4.8.1

xarray: 2022.9.0
pandas: 1.5.0
numpy: 1.23.3
scipy: 1.9.1
netCDF4: 1.6.1
pydap: None
h5netcdf: 1.0.2
h5py: 3.7.0
Nio: None
zarr: 2.13.3
cftime: 1.6.2
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: 2022.6.1
distributed: 2022.6.1
matplotlib: 3.6.0
cartopy: 0.21.0
seaborn: None
numbagg: None
fsspec: 2022.8.2
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 65.4.1
pip: 22.2.2
conda: installed
pytest: None
IPython: 8.5.0
sphinx: 4.5.0

[weiji14]

What are people's thoughts on having an OSX-specific lockfile? Do we need a conda-osx-64.lock.yml file or could we remove it?

For the hackweeks, it made sense to have OSX (and possibly Windows) since the hackweek participants may want to install a virtual environment locally on their laptop. For the hosted Cryo JupyterHub though, it will just be using the Linux-built docker image, and I'm not sure if there's the expectation that users will be copying this environment locally?

[weiji14]

Decided to remove the osx lockfile for now (see c274c75) to keep things minimal. Can always add it back later if requested.