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Added separate Jupyterlab page

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feichtinger
2019-07-31 14:40:55 +02:00
parent 51400e382f
commit a6bbaa6c3d
3 changed files with 36 additions and 20 deletions
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pages/merlin6/04 jupyterhub/jupyterhub.md
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title: Jupyterhub on Merlin
#tags:
#keywords:
last_updated: 16 July 2019
last_updated: 31 July 2019
#summary: ""
sidebar: merlin6_sidebar
permalink: /merlin6/jupyterhub.html
@ -37,24 +37,14 @@ The service is available inside of PSI (or through a VPN connection) at
## 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.
{% include image.html file="jupyter-launch-classic.png" caption="Launch Classic Notebook" max-width=501 %}
## 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
* **tensorflow-1.13.1_py36**: contains Tensorflow, Keras, scikit-learn, Pandas, numby, and dependencies. Stable
* **talos_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.
@ -63,8 +53,8 @@ These environments are also available for standard work in a shell session. You
```
module use unstable
module load anaconda/2019.03
conda activate datascience_py36
module load anaconda/2019.07
conda activate tensorflow-1.13.1_py36
```
When the `anaconda` module has been loaded, you can list the available environments by executing
@ -78,11 +68,7 @@ conda info -e
There exist a number of useful [contributed but unofficial
extensions](https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/index.html)
that add useful features to your notebooks. 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)) -->
that add useful features to your notebooks.
From the classic Notebook UI you can access the available extensions in a separate tab as displayed in this screenshot:

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pages/merlin6/04 jupyterhub/jupyterlab.md Normal file
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---
title: Jupyterlab User interface
#tags:
#keywords:
last_updated: 31 July 2019
#summary: ""
sidebar: merlin6_sidebar
permalink: /merlin6/jupyterlab.html
---
## Testing out Jupyterlab
**Jupyterlab** is a new interface to interact with your Jupyter notebooks. However, it is in very active development and undergoing constant changes. You can read about its features [on the official website](https://jupyterlab.readthedocs.io/en/stable/user/interface.html).
You can test it out on our server by using the following kind of URL, where *$YOUR-USER* must be replaced by your PSI username. You must already have an active session on the jupyterhub.
https://merlin-jupyter.psi.ch:8000/user/$YOUR-USER/lab
## Switching to the Classic Notebook user interface
You can switch to the classical notebook UI by using the **"Launch Classic Notebook"** command from the left sidebar of JupyterLab.
{% include image.html file="jupyter-launch-classic.png" caption="Launch Classic Notebook" max-width=501 %}
## Jupyterlab does not support the older nbextensions
These regrettably are not yet supported from within the JupyterLab UI,
but you can activate them through the Classic Notebook interface (see
above)