DACHS/Jupyter - Revision history

M Kunzelmann: /* Software Stacks */

2026-03-30T18:20:58Z

Software Stacks

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 We provide two Python environments:
-* <code>jupyter/minimal</code>: This Python environment contains just the basic packages to run the Jupyter notebook.
+* <code>jupyter/minimal</code>: This Python environment contains just the basic packages to run the Jupyter notebook. You can use this Python environment as base for your own environment, or you can load an environment that you completely build yourself.
 = Request a Reservation for Your Lecture =

2026-03-30T18:17:33Z

← Older revision		Revision as of 20:17, 30 March 2026
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	[[Image:20260324-dachs-jupyter-custom-reservation.png\|500px]]		[[Image:20260324-dachs-jupyter-custom-reservation.png\|500px]]

			= Software Stacks =

			We provide two Python environments:

			* <code>jupyter/minimal</code>: This Python environment contains just the basic packages to run the Jupyter notebook.
			You can use this environment as base for you own environment or use environment that you completely build yourself.
			* <code>jupyter/ai</code> (default): This Python environment is preselected in the resource selection dialog.
			Additional to the minimal environment, it contains <code>plotly, scikit-learn, seaborn, tensorflow, torchvision</code>.

			You can also build and use your own environment in a Jupyter notebbok.
			First you create the Python environment with your required dependencies.
			Then you make this environment available as kernel for the Jupyter notebook that you can select.
			[[BwUniCluster3.0/Jupyter#Usage_of_virtual_environment_in_JupyterLab\|Take a look at the bwUnicluster documentation]]


	= Request a Reservation for Your Lecture =		= Request a Reservation for Your Lecture =

2026-03-24T13:39:50Z

Logout Process

← Older revision		Revision as of 15:39, 24 March 2026
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	To do this, got to '''File > Hub Control Panel''' and click '''Stop My Server'''.		To do this, got to '''File > Hub Control Panel''' and click '''Stop My Server'''.
	Alternatively, you can also log out via '''File > ~~Logout~~'''. When you log out, your Jupyter Notebook is also stored.		Alternatively, you can also log out via '''File > Log Out'''. When you log out, your Jupyter Notebook is also stored.

	= Selection of Compute Resources =		= Selection of Compute Resources =

2026-03-24T13:37:56Z

← Older revision		Revision as of 15:37, 24 March 2026
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	= Login ~~process~~ =		= Login Process =
	After having logged into		After having logged into
	https://dachs-jupyter.hs-esslingen.de		https://dachs-jupyter.hs-esslingen.de
	You will need to specify the resources, as described in the next section.		You will need to specify the resources, as described in the next section.


			= Logout Process =

			Your Jupyter Notebook ist started as any other Slurm job.
			If you just close your web browser, the Slurm job will continue to run in the background until it hits the time limit.
			Therefore, you should explicitly stop your server or log out from JupyterHub so that
			* your Slurm job is stopped, and your allocated resources do not count towards your personal and organizational usage quota.
			* resources are returned so that they can be used by others.

			To do this, got to '''File > Hub Control Panel''' and click '''Stop My Server'''.
			Alternatively, you can also log out via '''File > Logout'''. When you log out, your Jupyter Notebook is also stored.

	= Selection of Compute Resources =		= Selection of Compute Resources =

2026-03-24T09:12:20Z

Request a Reservation for Your Lecture

← Older revision		Revision as of 11:12, 24 March 2026
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	Furthermore, it's easy:		Furthermore, it's easy:

	1. Send an [mailto:dachs-admin@hs-esslingen email] with the following information:		1. Send an [mailto:dachs-admin@hs-esslingen?Subject=DACHS%20JupyterHub%20Reservation%20Request email] with the following information:
	* Start time and duration		* Start time and duration
	* How many nodes do you request? Generally, we assign nodes from the [[ DACHS/Hardware \| <code>gpu1</code> partition ]] to JupyterHub jobs.		* How many nodes do you request? Generally, we assign nodes from the [[ DACHS/Hardware \| <code>gpu1</code> partition ]] to JupyterHub jobs.

2026-03-24T09:11:09Z

Selection of Compute Resources

← Older revision		Revision as of 11:11, 24 March 2026
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	When you adjusted your resources, press start and the Notebook is started for you.		When you adjusted your resources, press start and the Notebook is started for you.

	[[Image:20260324-dachs-jupyter-resource-selection.png]]		[[Image:20260324-dachs-jupyter-resource-selection.png\|500px]]

			<br>
	If you want to use a custom reservation, for example a reservation you previously ~~requests~~, then un-check the box after '''Use default reservation''' and enter your custom reservation name and the token that you received from us.		If you want to use a custom reservation, for example a reservation you previously requested, then un-check the box after '''Use default reservation''' and enter your custom reservation name and the token that you received from us.
			You can also try to start the Jupyter Notebook without a custom reservation (and without the default reservation)
			This job is treated as any other by Slurm, meaning it is scheduled if there are available resources.


	[[Image:20260324-dachs-jupyter-custom-reservation.png]]		[[Image:20260324-dachs-jupyter-custom-reservation.png\|500px]]

	= Request a Reservation for Your Lecture =		= Request a Reservation for Your Lecture =

2026-03-24T09:08:04Z

Selection of Compute Resources

← Older revision		Revision as of 11:08, 24 March 2026
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	If you want to use a custom reservation, for example a reservation you previously requests, then un-check the box after '''Use default reservation''' and enter your custom reservation name and the token that you received from us.		If you want to use a custom reservation, for example a reservation you previously requests, then un-check the box after '''Use default reservation''' and enter your custom reservation name and the token that you received from us.


			[[Image:20260324-dachs-jupyter-custom-reservation.png]]

	= Request a Reservation for Your Lecture =		= Request a Reservation for Your Lecture =

2026-03-24T09:04:31Z

Selection of Compute Resources

@@ Line 28: / Line 28: @@
 = Selection of Compute Resources =
 [[Image:20260324-dachs-jupyter-resource-selection.png]]
 = Request a Reservation for Your Lecture =

2026-03-24T08:55:56Z

Selection of Compute Resources

← Older revision		Revision as of 10:55, 24 March 2026
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	= Selection of Compute Resources =		= Selection of Compute Resources =

			[[Image:20260324-dachs-jupyter-resource-selection.png]]

	= Request a Reservation for Your Lecture =		= Request a Reservation for Your Lecture =

2026-03-24T08:49:12Z

Request a Reservation for Your Lecture

← Older revision		Revision as of 10:49, 24 March 2026
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	Furthermore, it's easy:		Furthermore, it's easy:

	1. Send an ~~email to~~ [mailto:dachs-admin@hs-esslingen] with the following information:		1. Send an [mailto:dachs-admin@hs-esslingen email] with the following information:
	* Start time and duration		* Start time and duration
	* How many nodes do you request? Generally, we assign nodes from the [[ DACHS/Hardware \| <code>gpu1</code> partition ]] to JupyterHub jobs.		* How many nodes do you request? Generally, we assign nodes from the [[ DACHS/Hardware \| <code>gpu1</code> partition ]] to JupyterHub jobs.