mach-nix VS nix

Another way if the above doesn't work is to use mach-nix:https://github.com/DavHau/mach-nix

For python, I can highly recommend mach-nix. Makes it really easy to also keep a requirements.txt to stay compatible with non-nix-users.

The ESP32 toolchain is quite cumbersome to install - even under NixOS. The wiki tells you to create a shell.nix that creates a python virtual env at the first execution. I used DavHau's mach-nix to create esp-idf.nix and subsequently micropython-esp32.nix.

mach-nix and friends are pretty good, but I've found that the expectations of all the commonly-used data science stuff is pretty antithetical to the Nix Way. I'm not sure if it's still the case, but last I tried, Hydra wasn't building CUDA (since it's non-free), so I had to compile that and e.g. TensorFlow and PyTorch. Very painful, even on a beefy system.

I don't do much Python, but usually everything works just fine with mach-nix. I would try something like this: ``` { pkgs ? import (fetchTarball "https://github.com/nixos/nixpkgs/archive/nixpkgs-unstable.tar.gz") { } }:

There are some sifferent/new tools for adding your own Python packages these days. It's still not truly solved, but one of these new package generation tools might serve your better:

poetry2nix: https://github.com/nix-community/poetry2nix

dream2nix: https://nix-community.github.io/dream2nix/guides/getting-sta...

mach-nix: https://github.com/DavHau/mach-nix

pip2nix: https://github.com/nix-community/pip2nix

pynixify: https://github.com/cript0nauta/pynixify

The tools available to you at the time (pypi2nix and maybe python2nix, if it was a long time ago) have been abandoned in favor of the newer tools, I think chiefly poetry2nix but I'm not sure.

There's still the Nixpkgs buildPythonPackage stuff, I think, if your goal is to upstream a lib into Nixpkgs. But if you just want to build your own Python applications and vendorize the deps (e.g., for work), you might try one of the tools above, which weren't available 3+ years ago. Maybe Nixy Python users and developers can reply with some of their experiences using those tools :)

Have a look at mach-nix which is a small utility library for nix to build Python packages declaratively.

final: prev: { xonsh = prev.xonsh.overrideAttrs (old: rec { version = "0.12.4"; src = final.fetchFromGitHub { owner = "xonsh"; repo = "xonsh"; rev = version; sha256 = "0kdps0gf0767zy0fs6qn39rv4z3x7ck0qz1pzx6962593171yk8b"; }; propagatedBuildInputs = prev.xonsh.propagatedBuildInputs ++ [final.python3Packages.virtualenv]; }); python39 = prev.python39.override { self = prev.python39; packageOverrides = python_final: python_prev: { prompt-toolkit = python_prev.prompt-toolkit.overrideAttrs (old: rec { version = "3.0.29"; src = final.python3Packages.fetchPypi { pname = "prompt_toolkit"; inherit version; sha256 = "sha256-vWQPYOjOzXTw3CSXE9QzrOLdxitl7gf5bTWOCxUrbqc="; }; }); }; }; # Using mach-nix to fetch unpackaged xontrib plugins # adapted from https://github.com/NixOS/nixpkgs/issues/75786#issuecomment-873654103 mach-nix = import (builtins.fetchGit { url = "https://github.com/DavHau/mach-nix/"; ref = "refs/tags/3.4.0"; }) { pkgs = final; }; xonsh_pyenv = final.mach-nix.mkPython { requirements = '' xontrib-fzf-widgets xonsh-direnv ''; }; xonsh_with_plugins = final.xonsh.overrideAttrs (old: { propagatedBuildInputs = old.propagatedBuildInputs ++ final.xonsh_pyenv.python.pkgs.selectPkgs final.xonsh_pyenv.python.pkgs; }); }

> https://github.com/NixOS/nix/pull/9911#issuecomment-19252073...

As we covered in my last post, NixOS is a amazing Linux distribution for creating stable and declared environments. Now while this is amazing for a desktop setup, it is also perfect for a home-server or home-lab.

(Nix itself is slowly chugging along with Windows via MinGW - https://discourse.nixos.org/t/nix-on-windows/1113/108 and https://github.com/NixOS/nix/issues/1320 , for example.)

Nix is a cross-platform package manager. It uses the nix programming language. Nix and NixOs are often used in the same context, but while the first is a package manager, the latter is a linux distribution based on nix.

Today I want to talk to you about Nixos. What is it? Nixos is a declarative and reproducible OS, partly taking the words used on their own page. What does that mean?

Software developers often want to customize:

1. their home environments: for packages (some reach for brew on MacOS) and configurations (dotfiles, and some reach for stow).

2. their development shells: for build dependencies (compilers, SDKs, libraries), tools (LSP, linters, formatters, debuggers), and services (runtime, database). Some reach for devcontainers here.

3. or even their operating systems: for development, for CI, for deployment, or for personal use.

Nix provision all of the above in the same language, with Nixpkgs, NixOS, home-manager, and devShells such as https://devenv.sh/. What's more, Nix is (https://nixos.org/):

- reproducible: what works on your dev machine also works in CI in prod,

- declarative: you version control and review your configurations and infrastructure as code, at a reasonable level of abstraction,

- reliable: all changes are atomic with easy roll back.

Hopping from one distro to another with a different package manager might require some time to adapt. Using a package manager that can be installed on most distro is one way to help you get to work faster. Flatpak is one of them; other alternative are Snap, Nix or Homebrew. Flatpak is a good starter, and if you have a bunch of free time, I suggest trying Nix.

- it reduces bloat, because you can generate an environment or OS image with only the software needed to run a specific program or service

My guess is that a big efficiency gain would come from the second point, because you don't waste CPU on code that you don't use.

Does this make sense? Has anyone explored this?

[0]: https://nixos.org

1) Setting up the development environment - I currently use devcontainers for most things, but may also dig into nix -> isolated, portable, repeatable development environment 2) Exploring Echo - understand routing, requests, response, etc. 3) Incorporate Templ - integration with Echo, template composition, etc. 4) Integrating TailwindCSS - config for use with Echo/Templ, development cycle, deployment, etc. 5) Add in HTMX - endpoints, template structure, concepts, etc. 6) hyperscript for interactivity - client side interactivity