One thing you may want to be aware of is that the python language server used for vscode runs pylint which performs static analysis on the code. However, Jupyter Notebook uses autocomplete by actually introspecting the variables as they are defined. This creates large differences when doing things such as selecting a column in a pandas dataframe. In jupyter if you press tab on the column name, it can autocomplete and also assumes you are getting a series, which leads to autocomplete on things like .min, .max, etc... In pylint you don't get any of this autocomplete since pylint cannot statically determine the column names so you lose the intellisense.

yep! this is something I will be focussing on in VSNotebooks. I noticed this as a huge drawback to the current implementation, so I will be fixing it :)