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Commit 28741dfc authored by Guilherme Calandrini's avatar Guilherme Calandrini
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update jupyterhub page, include advanced form instructions

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2 merge requests!968Automated merge from preview to main,!966update jupyterhub page, include advanced form instructions
...@@ -35,9 +35,6 @@ Old taurus ...@@ -35,9 +35,6 @@ Old taurus
At login page please use your ZIH credential (without @tu-dresden.de). At login page please use your ZIH credential (without @tu-dresden.de).
For example:
Username: ddde223z
![Simple form](misc/jupyterhub_loginpage.png) ![Simple form](misc/jupyterhub_loginpage.png)
{: align="center"} {: align="center"}
...@@ -67,6 +64,14 @@ We have created three profiles for each Cluster, namely: ...@@ -67,6 +64,14 @@ We have created three profiles for each Cluster, namely:
| VIS - 2 Core, 4GB, 2 Hours | Visualization | ANSYS | | VIS - 2 Core, 4GB, 2 Hours | Visualization | ANSYS |
| VIS - 4 Core, 8GB, 6 Hours | Visualization | ANSYS | | VIS - 4 Core, 8GB, 6 Hours | Visualization | ANSYS |
### Advanced options
Aside of the standard profiles there is the possibility to specify custom parameters to the job
spawner. This can be activate clicking at the advanced button located below to the profile list.
![Advanced form](misc/jupyterhub_advanced_form.png)
{: align="center"}
## JupyterLab ## JupyterLab
After your session it is spawned you will be redirected to JupyterLab. The main interface looks After your session it is spawned you will be redirected to JupyterLab. The main interface looks
...@@ -107,7 +112,14 @@ At the following table it's possible to see what is available at each cluster. ...@@ -107,7 +112,14 @@ At the following table it's possible to see what is available at each cluster.
In JupyterHub, you can create scripts in notebooks. Notebooks are programs which are split into In JupyterHub, you can create scripts in notebooks. Notebooks are programs which are split into
multiple logical code blocks. Each block can be executed individually. In between those code multiple logical code blocks. Each block can be executed individually. In between those code
blocks, you can insert text blocks for documentation. Each notebook is paired with a kernel running blocks, you can insert text blocks for documentation. Each notebook is paired with a kernel running
the code. We currently offer one for Python, C++, MATLAB and R. the code.
We offer some custom kernel for Julia*, MATLAB and R.
!!! note
Some kernels may not be available depending of the amounting of resources requested for the
job or due to the availability of modules to an specific cluster.
### Version Control of Jupyter Notebooks with Git ### Version Control of Jupyter Notebooks with Git
......
doc.zih.tu-dresden.de/docs/access/misc/jupyterhub_advanced_form.png

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