I have run Fedora and NixOS on my framework. Both run well, Fedora is equal/close equal to Ubuntu in ease of use.

https://snowflakeos.org/ - this project is focused on building an easier version of nixos including a GUI software store based on gnome software.

edit:ooops I meant to respond to @onlinepersona@programming.dev here

anything I tried getting from their repos was always way further behind the mac OS homebrew or Debian apt versions.

Nixpkgs are the most up to date of any package respiratory source

It is likely that you were using the current 'stable' channel that does not have the very latest packages. The 'unstable' channel does have the very latest packages and is what I think most people use.

nixOS is really slick in concept, but has a steep learning curve to get it properly customized as a daily driver. The learned skills don’t really translate outside the nix realm either, so I decided it was too much effort for my use case. I love this concept as a way to build reproducable servers or workstations tho, so I’ll def be playing with it again.

I totally agree, I wish it was easier to learn.

You should check out zig, its compiler can even be used for c/c++. If you have time to listen to an interview, this developer voices interview on zig explains some of the advantages of this: https://www.youtube.com/watch?v=5_oqWE9otaE&t=3970s

Putting aside the speed uv has a bunch of features that usually require 2-4 separate tools. These tools are very popular but not very well liked. The fact these tools are so popular proves that pip is not sufficient for many use cases. Other languages have a single tool (e.g. cargo) that are very well liked.

If you do multi stage builds (example here) it is slightly easier to use venvs.

If you use the global environment you need to hardcode the path to global packages. This path can change when base images are upgraded.

Sure, but in the case where you upgrade python and it affects python packages it would affect global packages and a venv in the same way.

upgrading your base image won’t affect your python packages

Surely if upgrading python will affect your global python packages it will also affect your venv python packages?

you can use multi stage builds to create drastically smaller final images

This can also be done without using venv's, you just need to copy them to the location where global packages are installed.

I'm not really against it if there is a demand and people want to buy/sell/trade here. If buy/sell/trade gets too much we could restrict it to a sticky thread.

It might be easier for people to find buyers/sellers on the framework forum category that @narc0tic_bird@lemm.ee pointed out though.

He is a front end dev/engineer and he mainly talks about the UI (which is his expertise).

Here are their repos: https://github.com/zen-browser

and here is a video from Theo on youtube looking into zen browser: https://www.youtube.com/watch?v=tKM2N4TQHQY

I don't think they have anything to do with each other, it looks like prefix.dev uses conda packages.

Yeah it is, eventually they want UV to have feature parity with rye and rye will basically just be a pointer to UV

Early on uv was only trying to replace pip. This latest update is a big step towards becoming a poetry (and pyenv/pipx) replacement too.

It worked for me with just: virtualisation.libvirtd.enable = true; in the configuration.nix.

Stable channels provide conservative updates for fixing bugs and security vulnerabilities, but do not receive major updates after initial release.

If you want up to date packages then use the unstable channel.

Nix has the most unique packages and the most up to date packages of any Linux software repository. It has substantially more fresh packages than Arch or Alpine (which you say does a better job in a separate comment).

Source:https://repology.org/repositories/graphs

Also you can comb your hair with an electric comb for 10 days

Yeah I agree, I am sure they are missing some obscure stuff. But in practise it has everything that I use and there has been no need for me to touch flatpak/appimage/snap

object oriented

Python does have OOP but you are not at all forced to use it. You can write code in a functional or even procedural style.

typing

I do hate that python doesent have proper support for typing but I think weakly typed variables will actually help beginners as it is less to think about to start off with.

indentation

I think there are pros and cons here. In other languages it is considered good style to use indentation anyway.

I'm sure it is difficult to teach a large class like that though. It was hard enough for me to learn with a much more favourable teacher to student ratio than you probably have. Sorry but honestly I do sympathise with admin as well.