Write code, access data and spin up dask clusters from within a Jupyter notebook


After you have created a project you’ll see that a Jupyter server has been created for you

Click the play button to start the instance and depending on cluster resources, your Jupyter instance should be ready in 1-10 minutes.

Advanced Settings

Often the default image contains all the packages that you’ll need for your project. If that isn’t the case, then you can choose a different image (see Images for details).

You can also tweak the setup of the project by adding a Start Script or Environment Variables. These settings are applied every time the Jupyter server spins up.

Managing Jupyter Instances

On every Project page we display the Jupyter for that project. We also show all your Jupyters on the Resources page. There are links in either of these places that will take you to Jupyter Lab.

After you’ve created a Jupyter, you might want to modify it. You can do this by clicking the edit icon on the Jupyter server details page.

When a Jupyter server is active, only the “Shutoff After” policy can be changed without a restart. Any other changes to a running Jupyter server will trigger a restart when clicking “Save”.