I wonder if this is a common scenario to save costs across different cloud vendors.
e.g. https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/python/jupyter-notebook<p>What do others think?
Not sure if this helps, but tons of people in science use local jupyter installations (typically installed through conda). Using externally hosted ones are probably the exception in my circles.<p>I’ve only used a few hosted ones from time to time, and now I host my own (private) jupyterhub for various reasons.