added initial Jupyterhub page

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url: /merlin6/slurm-examples.html
- title: Slurm Configuration
url: /merlin6/slurm-configuration.html
- title: Jupyterhub
folderitems:
- title: Jupyterhub service
url: /merlin6/jupyterhub.html
- title: Announcements
folderitems:
- title: Downtimes

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---
title: Jupyterhub on Merlin
#tags:
#keywords:
last_updated: 12 July 2019
#summary: ""
sidebar: merlin6_sidebar
permalink: /merlin6/jupyterhub.html
---
Jupyterhub provides [jupyter notebooks](https://jupyter.org/) that are launched on
cluster nodes of merlin and can be accessed through a web portal.
## Accessing Jupyterhub and launching a session
The service is available inside of PSI (or through a VPN connection) at
**<https://merlin-jupyter.psi.ch:8000>**
1. **Login**: You will be presented with a **Login** web page for
authenticating with your PSI account. We are still in a **TEST
PHASE** and we are using a self-generated certificate, so your
browser will generate a warning about it. Please agree to the
exception in this special case.
1. **Spawn job**: The **Spawner Options** page allows you to
specify the properties (Slurm partition, running time,...) of
the batch jobs that will be running your jupyter notebook. Once
you click on the `Spawn` button, your job will be sent to the
Slurm batch system. If the cluster is not currently overloaded
and the resources you requested are available, your job will
usually start within 30 seconds.
## JupyterLab and Classic Notebook user interfaces
Your Jupyter notebook will start up with the new **JupyterLab** user interface which has a toolbar on the
left. You can read about its features [on the official website](https://jupyterlab.readthedocs.io/en/stable/user/interface.html).
However, if you prefer the classical notebook UI or you want to use some feature which has not yet been implemented in the
new interface, you can switch to it by using the **"Launch Classic Notebook"** command from the left sidebar of JupyterLab.
![launch classical notebook](/images/jupyter-launch-classic.png)
## Jupyter software environments - running different kernels
Your notebooks can run within different software environments which are offered by a number of available **Jupyter kernels**.
E.g. in this test installation we provide two environments targeted at data science
* **datascience_py36**: contains Tensorflow, Keras, scikit-learn, and dependencies. Stable
* **keras216_py36**: also contains the Talos package. This
environment is experimental and subject to updates and changes.
When you create a new notebook you will be asked to specify which kernel you want to use. It is also possible to switch the kernel of a running notebook, but you will lose the state of the current kernel, so you will have to recalculate the notebook cells with this new kernel.
## Using nbextensions for adding features to your notebook
There exist a number of useful [contributed but unofficial extensions](https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/index.html)
that make working in your notebook easier. These regrettably are not yet supported from
within the JupyterLab UI, but you can activate them through the Classic Notebook interface (see above)
<!-- ([see above](##JupyterLab-and-Classic-Notebook-user-interfaces)) -->
From the classic Notebook UI you can access the available extensions in a separate tab as displayed in this screenshot:
![notebook extensions](/images/jupyter-nbextensions.png)
Especially the following extensions make working with larger notebooks easier
* **Table of Contents**: Displays a TOC on the left and you can also configure it
to add and update a TOC at the head of the document.
* **Collapsible Headings**: allows you to fold all the cells below a heading
## Troubleshooting
In case of problems or request, please either submit a **[PSI Service Now](https://psi.service-now.com/psisp)** incident containing *"Merlin Jupyterhub"* as part of the subject, or contact us by mail through <merlin-admins@lists.psi.ch> using the kind of subject line.