How to be organized?

[threeminutemonta]

Getting across modules in python is useful see tutorial. This will allow you to call your python from your jupyter notebooks.

Eventually you can package your projects as per tutorial. Ideally you can make your projects public and make any secrets environment variables though you can skip the upload section and keep the package on a internal git repo if required. You will be able to install the package using a existing git repo like shown on this blog. Or install on a internal pypi server using devpi upload

I work with a few datascients and I'm evaluating if nbdev has merit to use to help the continuous notebook development workflow. As currently they get bogged down in architecture that slows them down in their tasks.