1. Create Conda Environment

Open a JupyterLab notebook from DataLabs, this should send you to a landing page. From here, open up a terminal via File > New > Terminal. Within the terminal run the following command;

env-control add new-environment

This will trigger the creation of a Conda environment as well as adding Jupyter Kernels for both R & Python which are persisted on the data volume. When running this for a brand new environment this is likely to take ~10 minutes as it installs a number of dependencies.

add conda environment

Once the command is complete, refresh the page (F5) and browse to the Launcher (File > New Launcher), from here you should see two new kernels which correspond to the newly created Conda environment, one for each of Python and R.

conda environment created