The New notebooks in Quickstart thread reminded me of a test notebook I made of using an Observable notebook as a frontend to the python Jupyter kernel. It’s still incomplete, but since I don’t foresee myself finishing it in the near future 
I figured it would be better to share instead of just letting it rot in my private notebooks:
Questions, comments, forks, suggestions, etc. are all very welcome.
What’s missing:
- some introduction text (for now, you have to follow the somewhat lengthy instructions in the “Connecting to Jupyter” section or else everything is just inexplicably broken)
- some interesting examples (e.g. using Observable to write Jupyter widgets)
- a less ad hoc output area
- loading / saving
.ipynbnotebooks (?) - looking into reactive kernels like GitHub - jupytercalpoly/reactivepy: A reactive Python kernel and GitHub - dataflownb/dfkernel: A kernel to support Python dataflows in the Jupyter Notebook environment