Yeah, that's essentially the right way (I use conda envs, but venvs are probably fine too). Have one env for running the Jupyter Lab/Notebook server (install ju

Yeah, that's essentially the right way (I use conda envs, but venvs are probably fine too). Have one env for running the Jupyter Lab/Notebook server (install jupyter, jupyter widgets, nbextensions, etc into this env) and then create other envs for your projects and register that kernel with jupyter [0]. You can also just install all of the jupyter ide cruft in each env if you want, but dependencies can get annoying. [0] https://stackoverflow.com/questions/39604271/conda-environments-not-showing-up-in-jupyter-notebook#:~:text=Just%20run%20conda%20install%20ipykernel,to%20see%20newly%20added%20kernels https://stackoverflow.com/questions/39604271/conda-environme....