Tutorials

Live recordings of the tutorial sessions will be linked here. Some tutorials include slides, and most have an accompanying Jupyter Notebooks that can be run in Colab (free, just requires Google account) or our JupyterHub with all the necessary Python software packages installed.

How to run the tutorials? You can either download and upload the tutorials (click download icon) or view the tutorial (click eye icon) and you will see options to open the tutorial in the JupyterHub or Colab. You can also go to the tutorial GitHub repo and clone that into the JupyterHub or your local machine.

Title	Slides	Notebook	Notebook	Recording	Colab
Overview of the JupyterHub
Collaborating with Git and GitHub
Accessing PACE data via earthaccess
Remote sensing reflectance (Rrs)
Matchups - points and grids
Phytoplankton community composition
Water classification
Light attenuation (Kd)
Simple machine learning - 2D
Simple machine learning - BRT

You can find additional Jupyter Notebook tutorials using PACE data on the NASA Ocean Biology Processing Group website, PACE HackWeek 2024 and PACE HackWeek 2025