[Camillo]

> - The process to "promote" fragments of a notebook into being reusable functions seemed very high-friction: basically you're rewriting it as a normal Python package and then adding that to Jupyter's environment.

> - There aren't good boundaries between Jupyter's own Python environment, and that of your notebooks— if you have a dependency which conflicts with one of Jupyter's dependencies, then good luck.

The best Jupyter UX for me now is VSCode. Just put an .ipynb file in your workspace and you get the notebook interface inside VSCode. Put `%load_ext autoreload` and `%autoreload 2` in the first cell, and use the same python environment you're using in your workspace for the Jupyter kernel. Then you can import libraries from your project, use them, and it's very easy to promote code from the notebook into a library. You can just cut a function from the notebook, paste it into a library, add an import, and rerun the subsequent cells to verify it still works as expected.