Data Science workgroup: Difference between revisions

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 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.
-Some examples of data science infra :
+There have been some great examples of great work done on the data science infra :
 * [https://github.com/NixOS/nixpkgs/pulls?utf8=%E2%9C%93&q=is%3Apr+jupyter Jupyter]
 * [https://github.com/NixOS/nixpkgs/pull/38566 Jupyterlab package]
 * [https://github.com/NixOS/nixpkgs/pulls?utf8=%E2%9C%93&q=is%3Apr+jupyterhub Jupyterhub]
+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]:
+<code>
+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";
+};
+</code>
 and libraries:
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-but could a coordinated effort be fruitful?
+But could a coordinated effort be fruitful step up the game? Lets continue the discussion here and at #nixos-data.
-Lets continue the discussion here and at #nixos-data.
 == Channels ==