JupyterLab

Jupyter Lab comes pre-installed with kernels based on different conda environments. Users can further customize each of these environments, create new conda environments, and also add new Jupyter kernels based on these conda environments.

Kernels

Below is a snapshot of all the Jupyter kernels that are accessible from the launcher.

Python Package Management

Users can check all the available conda environments using conda env list on the terminal. By activating one of the environments (conda activate <environment_name>), users can see the libraries installed in a given environment (conda list). All these libraries will be accessible from respective Jupyter kernels. Please check conda documentation for further details.