In the past, before databricks, I would try and pull commonly used functions and features out of notebooks and save them in a python library that the whole team would work on and develop. This allowed for good code reuse and maintaining best practices within the team.

I did this with judicious use of `pip install -e .` and `%autoreload` in the past, allowing me to simultaneously work on a notebook and the library that the notebook depends on.

Is there a way to do this kind of development with Databricks? How do other people develop this kind of library for use with Databricks? Are people just doing mostly copy-paste development between different notebooks?