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After launching the container in terminal, a link will be provided. Copy and paste the link in the browser. Make sure you are not already logged into the datahub.

For researchers, enter ‘ls’ after logging in.

For

For researchers:

For researchers:

• For saving to team shared storage enter ‘cd /uss/sharename’ (after sftp>) as a the step prior to uploading files. To view files after logging into the RC, enter ‘cd /dsmlp/teams’.

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  title To upload files via the terminal to the group storage, proceed with the following steps:
  Via the terminal navigate to the folder that stores the file(s). Image Modified Enter ‘ls’ to list the files. Enter ‘sftp bah@dsmlp-login.ucsd.edu’ and enter your AD password. Enter ‘cd /uss/labname’. Entering this code will direct your uploads to the team storage. This command is not shown in the image below. Enter ‘put filename.txt’. Repeat this code for every file to be uploaded. Image Modified Enter ‘exit’ or ‘quit’ when done uploading files. Next, ssh in the Research Cluster ‘ssh dsmlp-login.ucsd.edu’ and enter AD password Enter ‘cd /dsmlp/teams’ to view files in the shared storage.

For administrators:

• At ‘sftp>’ step, enter ‘cd /uss’. Then 'cd /sharename'. Next, enter ‘put filename.txt’ to upload files.

Yes. You must first launch a container then use pip install. The package will be saved in your home directory and available to use each time you log into your account and for any container.

Yes. Note: You cannot launch duplicates of the same container at the same time – meaning one in the terminal and one datahub.

After ssh and launching a container, enter ‘pip list --user’.

After ssh and launching a container, then install package using ‘pip install <package>’.

From your homepage, select ‘New’ > ‘Terminal’. In the Jupyter Notebook terminal, enter ‘pip list --user’.

From your homepage, select ‘New’ > ‘Terminal’. In the Jupyter Notebook terminal, enter ‘pip uninstall <package>’