Hello, something happened that was supposed to happen, I taught my wife, a mathematician, how to use Grist.
For me, it was Grist who opened the way to Python.
My wife started with https://colab.research.google.com
Today I asked her to talk about how she uses Grist in her statistical data analysis work for her research paper.
And it turned out that she uses Grist only as a data provider, then exports it to colab to .CSV
Guys, this is a shock, in addition to many other libraries, I saw the Seaborn library at work.
Dozens of different graphics in the project is a strength.
It should be in Grist.
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that’s awesome, I wouldn´t even know how to use or why use most of the charts here
https://seaborn.pydata.org/examples/index.html
Dozens of different graphics in the project is a strength.
It should be in Grist.
If that library is FREE, why not create a Custom Widget?
The newly announced Jupyterlite notebook widget lets you embed notebooks (very similar to what colab provides) in a Grist document where they can directly access data without having to use CSVs or anything. You can use the Seaborn library as well as many other Python plotting libraries, although I’ve found the Seaborn library specifically to not work nicely inside a @grist.on_records callback so it’s not great if you want the chart to automatically update when data changes. But matplotlib, plotly, altair, and probably others work well, or you can just use Seaborn and rerun the cell manually.