'fingerprint' a notebook

[gzt5142]

This came up while debugging some libraries in nebari. . . A useful way of fingerprinting the environment in which a notebook is running would be:

import sys
print("Python     :", sys.version) 
from importlib.metadata import version as _v
for m in ['numpy', 'xarray', 'dask', 'zarr', 'fsspec', 's3fs']:
    print(f"{m:10s} : {_v(m)}")

That will print the versions of the named modules as cell output. Put any package names you like in the list. If you put a name of a module that isn't installed, you'll get an Exception.

I don't imagine that this will be necessary or helpful for every notebook.... but it could be useful information to include in a "about the environment" notebook... and it is VERY helpful for debugging problems.

@rsignell-usgs -- a useful cell to include for any 'minimal reproducible example' notebook for bug reports, etc.

[gzt5142]