python-wasm VS datasette

This wouldn't work, you should just use python-wasm to run the cpython interpreter on the browser.

Thanks for the detailed explanation, makes complete sense.

I suppose that means that for projects such as python-wasm [0] that are porting other language runtimes to WASM they will have to go the Asyncify route with all the overhead that entails?

From the looks of it they don't think asyncifying Python will be possible in the near to medium term [1].

0: https://github.com/ethanhs/python-wasm

1: https://github.com/ethanhs/python-wasm/issues/12

Ethan Smith, a Berkeley-based software developer, recently revealed a project that allows CPython, the default implementation of the Python programming language, to run within web browsers via WebAssembly, or WASM.

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/