If you are looking for a convenient way to run JupyterLab notebooks try UFRC JupyterHub service. It presents a convenient web interface to start notebooks, consoles, or terminals with multiple custom kernels and several job resource request profiles, which we can expand on request to satisfy your needs.
- The main user impact is that if this occurs, you will need to force a reload of the page to stop your server.
- To force a hard reload of the JHub webpage: use shift+F5 or hold the shift key on the keyboard and click on the reload browser button)
- After a reload, you will see your username in the top-right corner and be able to stop your server
Connect to https://jupyterhub.rc.ufl.edu
- Using your web browser navigate to https://jupyterhub.rc.ufl.edu and login with your GatorLink credentials.
Select the Desired Resources from the Dropdown
- Be sure to select reasonable resources for the work you plan to do and the allocation your group has. Once allocated to your job, those resources are unavailable to other users in your group for the duration of your job.
- After selecting the profile you want to use, click the start button.
- After clicking Start, your job is submitted to the SLURM scheduler requesting the resources indicated. It may take a few minutes or longer for your job to start depending on cluster load and your group's available resources.
Video Summary of Running Jupyter Notebooks on HiPerGator
[8 min, 1 sec] This video covers the use of Jupyter Notebooks via https://jhub.rc.ufl.edu/ to run Python, R and other notebooks on HiPerGator.
- Connect to https://jhub.rc.ufl.edu/
- Launch notebooks in various coding languages
- Launch a terminal
- Upload and download files via your browser
- 'Python3 3.7 (basic)' - the default python3 kernel from the jupyterhub, which doesn't have much in it.
- 'Python3 3.6 (full)' - our main HiPerGator python3/3.6 environment module with "Everything and the kitchen sink" in it as far as python modules are concerned.
- 'PyViz-0.10.0' - special environment for https://pyviz.org/ based data analysis and plotting environment.
- 'R 3.6 (full)' - our main R/3.6 environment module from HiPerGator with everything and a kitchen sink as far as packages are concerned.
Packages and modules in the full python3 and R environments are installed on request (https://support.rc.ufl.edu).
Users can define their own Jupyter kernels for use in JupyterHub. See https://jupyter-client.readthedocs.io/en/stable/kernels.html
In short, kernel definitions can be put into ~/.local/share/jupyter/kernels directory. See
/apps/jupyterhub/kernels/ for examples of how we define commonly used kernels.