At this point, you should have on your screen an URL with the following form. Then follow the instructions in section Starting Jupyter Notebook.

Open a new Terminal tab in MobaXTerm (Session 1) and connect to a cluster.

This will also work from any Unix system (MacOS, Linux, etc). In the above example, this would beĪn SSH tunnel can be created from Windows using MobaXTerm as follows. Then, copy and paste the provided URL into your browser. On your computer, open a new terminal window and run the following sshuttle command to create the ~]$ sshuttle -dns -Nr the preceding command substitute by your username and substitute by the cluster you connected to launch your Jupyter Notebook.

On a Linux or MacOS X system, we recommend using the sshuttle Python package. To access Jupyter Notebook running on a compute node from your web browser, you will need to create an SSH tunnel between the cluster and your computer since the compute nodes are not directly accessible from the Internet. Copy/paste this URL into your browser when you connect for the first time, to login with a token: Salloc: Granted job allocation 1422754 salloc: Waiting for resource configuration salloc: Nodes cdr544 are ready for job Serving notebooks from local directory: /home/fafor10 0 active kernels The Jupyter Notebook is running at: Use Control-C to stop this server and shut down all kernels (twice to skip confirmation). (jupyter_p圓) ~]$ salloc -time = 1:0:0 -ntasks = 1 -cpus-per-task = 2 -mem-per-cpu =1024M -account =def-yourpi srun $VIRTUAL_ENV/bin/notebook.sh The following instructions are for Python 3.6, but you can also install the application for a different version by loading a different Python module. These instructions install Jupyter Notebook with the pip command in a Python virtual environment in your home directory. If you are instead looking for a preconfigured Jupyter environment, please see the Jupyter page.Since Jupyter Notebook is the older Jupyter interface, please consider installing JupyterLab instead.Here, we give instructions to submit a Jupyter Notebook job. To use a compute node you will have to submit a job requesting the number of CPUs (and optionally GPUs), the amount of memory, and the run time. Note that login nodes impose various user- and process-based limits, so applications running there may be killed if they consume too much CPU time or memory. You can run Jupyter Notebook on a compute node or on a login node (not recommended). 'The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.' 'Project Jupyter is a non-profit, open-source project, born out of the IPython Project in 2014 as it evolved to support interactive data science and scientific computing across all programming languages.'

How to run jupyter notebook on mac