Workgroup:DataScience: Difference between revisions
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with such highlights as @aborsu's [https://github.com/aborsu/nixpkgs/blob/22ef965da38cc5e3457fe2d848b8a789cb6ad207/nixos/modules/services/development/jupyter/default.nix Jupyter kernels written in Nix]: | with such highlights as @aborsu's [https://github.com/aborsu/nixpkgs/blob/22ef965da38cc5e3457fe2d848b8a789cb6ad207/nixos/modules/services/development/jupyter/default.nix Jupyter kernels written in Nix]: | ||
< | {{file|/etc/nixos/configuration.nix|nix|<nowiki> | ||
python3kernel = let | python3kernel = let | ||
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logo64 = "$ {env.sitePackages}/ipykernel/resources/logo-64x64.png"; | logo64 = "$ {env.sitePackages}/ipykernel/resources/logo-64x64.png"; | ||
}; | }; | ||
</ | </nowiki>}} | ||
and libraries: | and libraries: | ||
Revision as of 22:58, 1 June 2018
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 :
with such highlights as @aborsu's Jupyter kernels written in Nix:
/etc/nixos/configuration.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:
But could a coordinated effort be fruitful step up the game? Lets continue the discussion here and at #nixos-data.