Ok, Block Party is over!
We are going to create packs using javascript. Quite nice actually
However, javascript is not optimal for a broad range of needings, and indeed it is not a first choice for any kind of data science / ML / EDA / etc. task
I am already embedding plotly graphs using embeds and my server. It’s not optimal but it works:
Mapa de las cervecerías artesanales de España · Presencia online de la cerveza artesana (coda.io)
Now, canvas is going to let us researchers offer much more convenient dashboard, using more horizontal space instead of just tall columns and a lot of pages.
Beyond that, if you want to do EDA on data or other simple data operations, either you have a formula, a workaround with formulas, or you are out of luck and you have to go to third party jupyter notebook providers such as google colab or deepnote.
For instance, I could start a project in Coda (using a two-way writeup template), retrieve data, work with this data using a jupyter notebook, and then either embed plotly graphics or copy + paste some tables to a coda table
It’s doable. But it is not elegant and you have to go back and forth, back and forth between coda and python environments.
Is there any unsurmountable obstacle which stops Coda to integrate jupyter Code cells?