Workgroup:DataScience: 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. | 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 : | |||
* [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] | |||
and libraries: | |||
* [https://github.com/NixOS/nixpkgs/pulls?utf8=%E2%9C%93&q=is%3Apr+nlp+ nlp] | |||
* [https://github.com/NixOS/nixpkgs/pulls?utf8=%E2%9C%93&q=is%3Apr+sklearn scikit-learn] | |||
* [https://github.com/NixOS/nixpkgs/pulls?utf8=%E2%9C%93&q=is%3Apr+tensorflow tensorflow] | |||
== Channels == | == Channels == | ||
Revision as of 22:38, 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.
Some examples of data science infra :
and libraries: