The JupyterLab environment lets you create and run Python, R and Bash notebooks, and access a Unix terminal.
You can also install your own JupyterLab kernel with custom libraries.
JupyterLab is the ideal environment for interactive data analysis, including machine learning.
Click the JupyterLab: Igbmc option in the Interactive appps menu.
You may choose the cluster resource you need for your JupyterLab session. If you plan to use GPU, make sure to choose a partition with GPU nodes and the number and type of GPU you want.
Click Launch to submit the JupyterLab job to the queue. The wait time depends on the current load of the cluster. Requesting smaller, shorter jobs may faciliate shorter wait times.
When JupyterLab is ready click Connect to Jupyter. Your JupyterLab session will be opened in a new tab.
The JupyterLab launcher offers a collection of notebook editors, consoles and application like a Unix terminal, a diagram or text editor.
