![]() Jupyter labextension enable jupyterlab_slurm For some extensions it is possible to install them with pip:įor example if you wish to install jupyterlab-slurm, you will need to run the following commands: There is no easy way to configure JupyterLab to store the extensions in a user-writable directory. You can not directly use the extension manager from JupyterLab as this would required write permission in the central installation directory of JupyterLab which users don't have. We provide some preinstalled extensions for the users, but there are probably still some useful extensions missing. It is possible to extend the basic functionality of JupyterLab with extensions. If you are not able to debug it yourself, please add this file to the ticket. They are available in your home directory under the following name ~/jupyterhub_slurmspawner*. You just need to replace everything after /user (included) by /hub/home.īefore opening a ticket, please check the logs of your jupyterlab. in tensorboard or other services), you can also access the hub by changing the URL. If you don't have access to this menu (e.g. Afterwards you can close the browser window and your session is terminated. To properly stop a jupyter session, you need to click the File menu and choose the entry Hub Control Panel (see picture) and then click the Stop my server button. If you just stop the current kernel or close the browser window, then the batch job on Euler will continue to run and waste resources that could be used by other cluster users. Please don't forget to kill your job when you are done with your JupyterLab (or stop your server in jupyterhub) You can find a comprehensive tutorial about JupyterLab on It has several hundred packages preinstalled that you can use right away in your session when starting a Python kernel: Please note that the service is currently using our Python 3.10.4 (GCC 8.2.0) installation. It might takes some time until the batch job has started, but then JupyterLab will start in your browser window. By clicking on the Start button, a batch job with your session will be started. Please only request multiple cores if you are planning to run some code that can make use of multiple cores. After entering your ETH credentials and clicking on the Sign in button, you can choose the amount of resources that you request for your session. Then you will be asked to login with your ETH credentials. You can start a session by opening your favorite browser and by entering the URL (FIXME: put URL here once the service is productive). After this initial procedure you can use the Jupyter service. When you login for the first time, an access code will be sent to your ETH email address that you need to enter and then you need to accept the clusters usage rules. On this page you can find all information required to login to the Euler cluster with your SSH agent. Please check our wiki page about accessing the cluster. Please note that if you have never logged into the Euler cluster before using this service, then you first need to login once with an SSH client to verify your ETH account and to accept the clusters usage rules. If you are working from home, then you would first need to establish a VPN connection to the ETH network. As the Euler cluster itself, the service can only be used from within the ETH network. The only prerequisite to use this service is that you have a local computer with a browser installed. It provides an easy access to computational resources of the Euler cluster and you can use it to interactively work and to develop and test your code. We therefore developed a service that allows users to start a JupyterLab session in their browser without having to login to Euler via an SSH client. JupyterLab and Jupyter notebooks are widely used in the scientific community at ETH as they provide an easy way to run Python code (or to use other programming languages) in a browser window. 10.10 I wish to use custom arguments to jupyterhub-singleuser.10.9 I want to load a cluster module / I want to activate a virtualenv / Jupyterlab is missing some features.10.8 I lost all my settings when migrating from the script to the hub.10.7 My jupyterlab with N GPUs is not starting.10.5 I cannot request a JupyterLab for more than 24h.10.4 My server has been killed even if my job had still plenty of remaining time.10.3 My server has been killed before starting.10.1 I cannot login to the Jupyter service.
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