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Setting up qemu VM using nix flakes

Did you know that it is rather easy to setup a VM to test your NixOs configuration?

Create simple flake:

# flake.nix
{
  inputs.nixpkgs.url = "github:NixOS/nixpkgs/nixpkgs-unstable";
@datakurre
datakurre / default.nix
Last active November 19, 2018 16:39
RobotKernel Jupyter notebook
{ pkgs ? import <nixpkgs> {}
, pythonPackages ? pkgs.python36Packages
}:
with pkgs;
let self = rec {
# patches

Multi user nix installation

Each section should be run as the user or as root, pay attention to which one!

Install nix single user

As $USER

curl https://nixos.org/nix/install | sh
@HeinrichApfelmus
HeinrichApfelmus / 01_ExampleMonadic.hs
Last active October 11, 2018 14:05
Chart library examples — monadic vs pure API
plotSpectrum1 lattice n m = toFile def file $ do
layout_title .= "Spectrum of '" ++ name ++ "'"
layout_x_axis . laxis_title .= "momentum k (" ++ show m ++ " points)"
layout_y_axis . laxis_title .= "energy E"
setColors $ colorGradient blue (length rows)
forM_ rows $ \row -> plot (line "band" [row])
where
...
@datakurre
datakurre / .gitignore
Last active December 29, 2022 10:29
Minimal Nix Docker
*.tar.gz
.sentinel.*
@baraldilorenzo
baraldilorenzo / readme.md
Last active June 13, 2024 03:07
VGG-16 pre-trained model for Keras

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

@Decoherence
Decoherence / ReaderT_and_WriterT.hs
Last active August 2, 2022 02:26
Haskell: Monad Transformers -- Combine ReaderT and WriterT
-- | Main entry point to the application.
module Main where
import Control.Monad.Reader
import Control.Monad.Writer
{-
The ReaderT transformer is used to retrieve a read-only value from some environment.
The WriterT transformer will log the result of each retrieval.
Running the two transformers together yields a log of each step along with the actual results.
@jdarling
jdarling / data.json
Last active November 6, 2023 16:03
D3 MindMap
{
"name": "Root",
"children": [
{
"name": "Branch 1",
"children": [
{"name": "Leaf 3"},
{"name": "Leaf 4"}
]
},
@killercup
killercup / pandoc.css
Created July 3, 2013 11:31
Add this to your Pandoc HTML documents using `--css pandoc.css` to make them look more awesome. (Tested with Markdown and LaTeX.)
/*
* I add this to html files generated with pandoc.
*/
html {
font-size: 100%;
overflow-y: scroll;
-webkit-text-size-adjust: 100%;
-ms-text-size-adjust: 100%;
}