vscode-jupyter VS datasette

https://github.com/microsoft/vscode/issues/4490

It looks like there are a number of vscode extensions for recording macros:

- https://www.google.com/search?q=vscode+macro+recorder

- https://marketplace.visualstudio.com/search?term=Macro&targe...

- the macro-commander README explains its JSON-based macro language. YAML might be easier to maintain than JSON. https://github.com/jeff-hykin/macro-commander#what-are-some-...

For teams with multiple editors, you can specify workflow automation scripts with shell scripts or ci container/cmd YAML, and/or pre-commit.yml instead of with an IDE-specific tool.

Isn't there native real-time collaboration functionality in vscode/vscodium that would be useful for a native macro recording feature? (Edit) Live Share can't be installed in vscodium. https://github.com/VSCodium/vscodium/issues/128

Support for jupyter-collaboration Y.js CRDT could be added to vscode-jupyter and/or a more generic extension: "Support for real-time collaboration in the extension?" https://github.com/microsoft/vscode-jupyter/discussions/1293...

jupyterlab/jupyter-collaboration:

Check out this GitHub issue. Similar to your needs, the reply said

It looks like this. I resubmitted a new feature request.

I don't like the fact that Visual Studio Code thinks a notebook has changed, while Git knows it isn't. According to issue #9514, this is something that should be fixed in the core of Visual Studio Code. So, I'm not really sure why issue #83232 (or #24883) is closed.

I wish for a simple option in VS Code: On close of a Jupyter Notebook clear its output. Or something that separate the display of the output from the saved file (Still `ipnyb` file). See [1].

[1]: https://github.com/microsoft/vscode-jupyter/issues/9514

jupyter won't work on vs-code

If that doesn't fix it, can you log an issue here? https://github.com/microsoft/vscode-jupyter/issues

Simon Willison's github would be a great place to get started imo -

https://github.com/simonw/datasette

I'm a fan on simonw's datasette/dogsheep ecosystem https://datasette.io/

I use Anki the exact same way. After a lifetime of learning I have accepted that I will never read over anything I write for myself voluntarily - so my two options are:

1. Write an article so good I can publish it and look it over myself later on. I did this last year with https://andrew-quinn.me/fzf/, for example.

2. Create Anki cards out of the material. Use the builtin Card Browser or even https://datasette.io/ on the underlying SQLite database in a pinch to search for my notes any time I have to.

Were you aware of, or tempted by https://datasette.io/ for creating your solution?

Browsing HN, GitHub and the like we get to see a huge variety of software products and code bases.

I often see products and think - if this product X, got together with Y, it would be pretty cool - kind of like if they had a kid together.

Not too literally, but more on the conceptual level - my level of programming is low.

E.g. Just some....

- pocketable.io & datasette (+with some more charting) [https://pocketbase.io, https://datasette.io]

You might like the Datasette project: https://datasette.io/

I don't think they are desperate for contributions but it's a welcoming environment and a fun project to hack on. You'll learn a lot just from reading the source and the incredibly informative PRs. The creator is a really talented developer with a great blog which shows up on the HN front page often.

Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.

> uploads of boring raw excel data and receive a nice UI

https://datasette.io/