Viewing profile — mscolnick

team effort, but this awesome goes to Trevor

How do you teach the model to use this new API? Wouldn't they be more effective just using the polars/pandas API which is has been well trained with?

This is cool. Do you still use this? There has been ideas thrown around to add "prompt" cells to marimo that can similarly create outputs or downstream cells and the prompts are se…

it would be awesome if this embedded marimo notebooks that run on WebAssembly (via https://marimo.app/ )

1. marimo

It wasn't included in the blog, but marimo also supports a markdown format, in case you're interested: marimo edit notebook.md

The parent comment wasn't fully correct. marimo doesn't store outputs in the notebook file, but it does have many ways outputs are stored alongside the notebook, or remotely if you…

It may be preferable to create a variable tied to a UI element that can be used as a toggle to view each analysis. choice = mo.ui.dropdown(['train', 'split') data = load(choice.val…

The default "store" is a local FileStore. In your case, it will save the outputs to a file on disk called `my_cache`. We plan to add more stores like Redis, S3-bucket, or an extern…

> One design decision they made is that outputs are not stored This is not quite true. Outputs are not stored...in the Python file*. marimo does store outputs in the `/__marimo__` …

Looks awesome! big fans of pyodide, congrats on the launch

You might be interested in marimo [1], which does not store your outputs in the notebook artifact. Also the files are stored at pure-python instead of json, which LLMs much prefer …

Thanks for sharing these resources

It is much smaller than that, Pyodide is only 2.8mb and the Python stdlib is 2.3mb when zipped

Yea, this can be hosted on GitHub pages without any vendor infra (no marimo.app) These are two separate features: 1) marimo.app + github.com/path/to/nb.ipynb does run on marimo.app…

Hi HN! Last year, we shared marimo [1], an open-source reactive notebook for Python with support for execution through WebAssembly [2]. We wanted to share something new: you can no…

it’s already possible to do this: marimo export script nb.py Pure-python also helps to work with existing tools out of the box: formatting, linting, pytest, importing notebooks as …

this sort of hackery to work with jupyter notebooks is exactly why we are building marimo ( https://github.com/marimo-team/marimo ). this should not be the standard

marimo has a playground to run notebooks via WebAssembly - similar to Bento - without having to deploy yourself: https://marimo.app/