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[https://github.com/cmd-ntrf/jupyter-lmod Jupyter Lmod] est un module d'extension permettant d'interagir avec les modules d'environnement avant le lancement des ''kernels'' (noyaux). Il utilise l'interface Python de Lmod pour accomplir des tâches reliées aux modules comme le chargement, le déchargement, la sauvegarde des collections, etc. | [https://github.com/cmd-ntrf/jupyter-lmod Jupyter Lmod] est un module d'extension permettant d'interagir avec les modules d'environnement avant le lancement des ''kernels'' (noyaux). Il utilise l'interface Python de Lmod pour accomplir des tâches reliées aux modules comme le chargement, le déchargement, la sauvegarde des collections, etc. | ||
<div class="mw-translate-fuzzy"> | |||
{{Commands | {{Commands | ||
|prompt=(jupyter_py3)[name@server $] | |prompt=(jupyter_py3)[name@server $] | ||
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|jupyter serverextension enable --py jupyterlmod --sys-prefix | |jupyter serverextension enable --py jupyterlmod --sys-prefix | ||
}} | }} | ||
</div> | |||
[https://github.com/jupyterhub/nbserverproxy nbserverproxy] enables users to reach arbitrary web services running within their spawned Jupyter server. This is useful to access web services that are listening only on a port of the localhost like [https://www.tensorflow.org/programmers_guide/summaries_and_tensorboard TensorBoard]. | |||
{{Commands | |||
|prompt=(jupyter_py3)[name@server $] | |||
|pip install nbserverproxy | |||
|jupyter serverextension enable --py nbserverproxy --sys-prefix | |||
}} | |||
==== Example ==== | |||
In Jupyter, a user starts a web service via 'Terminal' in 'New'' dropdown list: | |||
{{Command | |||
|tensorboard --port{{=}}8008 | |||
}} | |||
The service is proxied off of /proxy/ at https://address.of.notebook.server/user/theuser/proxy/8008. | |||
=== RStudio Launcher === | === RStudio Launcher === | ||