Hi Aviranjan!

You should be able to use this approach regardless of which major cloud provider (Azure, AWS or GCP) you have chosen to host Databricks, as this is method isn't using any platform specific approach.

You can use Databricks' Git integration (Databricks Git repo) to interact (develop/commit/push/PR) with the codebase of the Python library, but if I recall correctly, the .py files are displayed as regular text files, without any highlighting, intellisense, debugging, etc. that you'd normally get in an IDE.

Best Regards,

Tibor