linux-surface VS pyodide

Apart from camera, almost everything is working correctly. Camera doesn't work at all.

https://github.com/linux-surface/linux-surface

I use this kernel, you can use this with most operating systems.

I use xournal++ for note writing, and using GNOME is necessary. KDE doesn't have support for screen rotation etc. When you use GNOME, make sure to disable gestures and screen edge detection, because that might occasionally cause problems.

So, the workflow is quite simple with xournal++, you run a `inotify` based watched which automatically compiles and pushes stuff on every save. I of course assume that only `xournal++` on tab can change those handwritten notes. You can get some fancier git logic if needed.

```

while inotifywait -e modify,create,delete,move $INPUT;

There's support for Linux on the Surface range:

https://github.com/linux-surface/linux-surface/wiki/Supporte...

But actual users seem to say it's a bit of a mixed bag.

If someone's looking for a laptop (that doesn't need touchscreen support), then Apple laptops are probably the better choice.

How to get out of this situation? Links https://github.com/linux-surface/linux-surface/issues/1240 - the same problem as I have and the same puncture, but the person managed to get out of the situation https://www.reddit.com/r/SurfaceLinux/comments/16d40vs/kill_my_surface_pro_2017_need_help/ - my similar post in a nearby subreddit, but since I'm here, the problem turned out to be bigger than I thought

https://github.com/linux-surface/linux-surface

Should have you covered.

I went the 12” MacBook route which can also install Linux.

I have a surface with Ubuntu and the Surface Kernel (https://github.com/linux-surface/linux-surface) , and it works really wonderfully. I will say, before installing the Surface Kernel, it was very janky.

I know about https://github.com/linux-surface/linux-surface but I'm looking for practical feedback from people who did the operation in order to orient my choice.

Thank you! Yes, one of the items in the Roadmap is support for Pyodide (https://github.com/pyodide/pyodide) for running in-browser python on the results of each of the code blocks! This should allow most ML libs to be usable in-browser! This is pretty high-up on our priority list.

If I understand correctly, WASM only makes sense for compiled languages, you can run the python interpreter in WASM of course[1], but that will be at a significant performance disadvantage to the native javascript interpreter, and it's also something that has to be loaded every time you load the website.

[1]: https://github.com/pyodide/pyodide

If you absolutely need something comparable to Sympy, then one option might be to figure out how to best call Sympy from Rust. e.g. - RustPython, although it seems like Sympy isn't supported yet - Pyodide, and figuring out how to run it outside of a web browser. Probably also not very easy. - PyPy, and having a pretty simple Python binary for every platform - ...

For running programming languages other than JavaScript in the browser there is Emscripten and WebAssembly. There is v86, where a Linux build is compiled to WASM. Folks have written QuickJS into a Linux build compiled to WASM, Node.js into the Linux buildroot https://github.com/cemalgnlts/now, so Python or CPython can be written to the image and loaded into the browser as WASM as well https://github.com/pyodide/pyodide.

There's a Python runtime that runs on WebAssembly (https://github.com/pyodide/pyodide). I have no idea what it's like, I've never used it.

Still in a quest to provide some tooling to quickly compose documentation websites: https://github.com/synw/docdundee . As I have tons of libs to document and was tired of managing restructured language for readthedocs I started with this, and now it has executable Python examples in the frontend via a Pyodide wrapper composable: usePython

This project's brand new and a lil hacky, but I've already reached out to the scikit-learn team, and they recommended that I experiment with using Pyodide as an alternative backend for the Python bridge.

You can use my package usePython or directly Pyodide to run Python code in the browser with the ability to use Numpy and Pandas as well as any other pip package. Note that the former comes with a Vuejs code editor Vuepython