Starting and accessing a Jupyter Notebook (Linux / macOS)¶
To run a Jupyter Notebook in the DTU databar while displaying it output in your browser requires three steps.
Starting the notebook on an interactive compute node.
Make a connection to the relevant compute node, bypassing the firewall.
Connecting your browser to the Jupyter Notebook process.
Logging into the databar¶
If you are not already logged into the databar, do so by starting a Terminal window. Log in to the databar front-end with the command:
ssh -XY USERNAME@login.gbar.dtu.dk
USERNAME with your DTU username, and note that when you
are asked for a password, you should use your DTU password, not
the Jupyter password you just created!
Once you are logged in on the front-end, get a session on an interactive compute node by typing the command:
Starting a Jupyter Notebook¶
Change to the folder where you keep your notebooks (most likely
CAMD2022) and start the Jupyter Notebook server:
cd CAMD2022 source venv/bin/activate camdnotebook
camdnotebook is a local script. It checks that you
are on a compute server (and not on the front-end) and that X11
forwarding is enabled. Then it starts a jupyter notebook by running
jupyter notebook --no-browser --port=40000 --ip=$HOSTNAME
(you can also use this command yourself if you prefer).
The Notebook server replies by printing a few status lines, as seen here
The important line is the second from the bottom, it shows on which
computer and port number the notebook is running (here
and 40000, respectively).
Create an SSH Tunnel to the notebook¶
You now need to create an SSH tunnel to the server directly from your laptop. It is also done with an
ssh command, which unfortunately is a bit cryptic. Open a new Terminal window on your laptop, and write the following command:
ssh USERNAME@login.gbar.dtu.dk -g -L8080:HOSTNAME:PORT -N
I this line, you should replace
USERNAME with your DTU username,
HOSTNAME with the servername you see in the other terminal window (it has the form
PORT with the port number you see in that line (typically 40000 or close). The command will ask for a password, you need your DTU password, not the Jupyter password. There is no feedback in form of stars when you type the password. If you type the password correctly (and press enter) then the command gives no feedback indicating that it is running!
Starting a browser.¶
Start a browser (Chrome and Firefox are known to work well) and write in the address bar:
Your browser is now asking for your Jupyter password (the one you created when setting up your account). You are now ready to open one of the notebooks, and run the exercises.
When you are done for the day, please
Save all notebooks, then select
Close and Halton the file menu.
Stop the SSH tunnel.
Stop the Jupyter Notebook server by pressing Control-C twice in the window where it is running.
Log out of the databar by typing
exittwice in the window(s).