This page documents how to run a shell command to enable access to a custom Python environment within Jupyter (as accessed through our Agave Open OnDemand webapp: login.rc.asu.edu). This page assumes that the user is familiar with Anaconda and already has an environment ready to interface with Jupyter. For more on using or creating conda environments see: /wiki/spaces/RC/pages/125829137 . For a page detailing how to use conda environments with Jupyter see: /wiki/spaces/RC/pages/1422458898
Instructions
Suppose I want to install my own custom environment called kaiju_example as a jupyter kernel with the display name Kaiju. From the shell run I would need to run:
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This will only work if the environment is already installed in the user’s home or project based storage directory. To use a new admin installed environment from within JjupyterJupyter, please open a ticket with the request by emailing: rtshelp@asu.edu |
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