I wrote some functions (for e.g some non-standard metrics for binary/multiclass) which I want to be able to use whenever I’m doing binary classification. In Jupyter/google colab, I just copy-paste those functions in every notebook.
What’s the general practise for using common code while using jupyter notebooks? Google search shows some results to share code, but I couldn’t figure out if there is any standard approach while using Jupyter notebooks.
If the project spans more than one logical units/files, is jupyter notebook still a good choice?
Any inputs will be very helpful.