Storage and Python environments
What files are being saved in my Jupyter environment?
- Files under /home/<your_username> only,
- Any conda environments you may create.
Any other library or file will be discarded after your session is terminated.
Once your Jupyter session starts, several filesystems are mounted in different locations.
- A read-only filesystem that contains code examples under /home/<your_username>/public,
- A read-only filesystem that contains the files you may had before the migration on June 14th 2022 under /home/<your_username>/old_files,
- A filesystem that contains your persistent files under /home/<your_username>,
- All other locations are not persisted.
|/home/jovyan or /tmp||Faster||No||No|
Your Jupyter instance is initialized with default conda environments, that are reset after each session restart. List the current environments
Open a shell terminal to type the following commands, or type them directly in a notebook using the ! character.
(base) jovyan@jupyter-<your-username>:/home/<your-username>$ conda env list # conda environments: # base * /opt/conda climaf /opt/conda/envs/climaf pcmdi /opt/conda/envs/pcmdi
These three default environments are installed by default and are not persisted across sessions.
However, any custom environment you may create will be persisted.
Create a custom environment
- Execute these commands with your own <env-name>, from a terminal or a notebook using the ! character.
(base) jovyan@jupyter-<your-username>:/home/<your-username>$ conda create -n <env-name> ipykernel (base) jovyan@jupyter-<your-username>:/home/<your-username>$ conda activate <env-name> (<env-name>) jovyan@jupyter-<your-username>:/home/<your-username>$ python -m ipykernel install --user --name <env-name>
- Finally, refresh the page using your web browser.
You should now be able to pick your newly created environment in the JupyterHub launcher.
Opening a launcher tab, you will need to select between two kernels in order to create a new empty Jupyter notebook.