Workgroup:DataScience

This workgroup is dedicated towards improving the state of the data science stack in Nixpkgs. This includes work on packages and modules for scientific computation, artificial intelligence and data processing, as well as data science IDEs.

There have been some great examples of great work done on the data science infra :

• Jupyter
• Jupyterlab package
• Jupyterhub

with such highlights as @aborsu's Jupyter kernels written in Nix:

 python3kernel = let

  env = (pkgs.python3.withPackages
    (pythonPackages: with pythonPackages; [
      ipykernel
      pandas
      scikitlearn
      ]));
 
 in {

   displayName = "Python 3 for machine learning";

   argv = [
     "$ {env.interpreter}"
     "-m"
     "ipykernel_launcher"
     "-f"
     "{connection_file}"
   ];
   language = "python";
   logo32 = "$ {env.sitePackages}/ipykernel/resources/logo-32x32.png";
   logo64 = "$ {env.sitePackages}/ipykernel/resources/logo-64x64.png";
 };

and libraries:

• nlp
• scikit-learn
• tensorflow

But could a coordinated effort be fruitful step up the game? Lets continue the discussion here and at #nixos-data.

Channels

#nixos-data on Freenode

People

Ixxie