Tony Hirst

Ah - thanks - linked fixed, as [here](https://f1datajunkie.github.io/jupyterlite-fastf1/book). Re: linking to that - yes, of course, please do. I apologise for not offering to contribute more directly here, but I...

I'm happy to try to iterate closer to production `fastf1` code but generality is of interest to me so I think watching what happens in the reqs for xeus kernel...

Would optional support of different cache backend be of interest? I am interested in guaranteed reproducibility and my gut (historical) feeling is that pickle is not guaranteed not to change....

Latest update: I have an example of using `fastf1` in a pyodide environment using Python Shinylive ([py-shinylive](https://github.com/posit-dev/py-shinylive)). Demo here: https://f1datajunkie.github.io/jupyterlite-fastf1/shinylive/app1 Code here: https://github.com/f1datajunkie/jupyterlite-fastf1/tree/main/shinyapp Blog post: https://blog.ouseful.info/2025/01/22/tinkering-with-in-browser-shinylive-python-pyodide-dashboards/

## Using `fastf1` in marimo If we load `rapidfuzz` in separately, we can run `fastf1` in marimo notebooks. [Example notebook](https://marimo.app/l/gj4eb6).

I've been trying to figure out what is responsible for removing the explicit `index.html` when using the Notebooks UI (e.g. on the `/tree` path. Any hints of where I can...

Ah.. ok..so a workaround would be for me to hack that file in the distribution?

The issue is not so much installing a new kernel into an already downloaded JupyterLab distribution, it's more a case of building a distribution with a different kernel built in...

Presumably we can install additional kernels via the server setup file? https://github.com/jupyterlab/jupyterlab-desktop/blob/master/env_installer/jlab_server.yaml For example, for R: https://github.com/jupyter-xeus/xeus-r/ or https://anaconda.org/r/r-irkernel (do they include https://anaconda.org/r/r as a dependency?) [UPDATE: simply adding `xeus-r`...

@mbektas thanks. I tried adding the xeus R kernel to the server yaml and rebuilt the app but didn't see the r kernel listed as an option in the app?