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 our preconfigured software environment If you are attending the hackweek, you have access to a JupyterHub environment with all the necessary Python software packages installed that are needed to run through these tutorials interactively. On JupyterHub, your home directory persists so any changes you make to the tutorials will be saved and be there for you next time you log in.

You can find additional Jupyter Notebook tutorials using PACE data on the NASA Ocean Biology Processing Group website.

Title	Slides	Notebook	Recording
Overview of CryoCloud JupyterHub
Orientation to Earthdata Cloud Access
Satellite Data Visualization
Matchups of in-situ Data With Satellite Data (ThoMas)
Matchups of in-situ Data With Satellite Data
Collaboration with Git and GitHub
Using the SeaDAS Command Line Tools (OCSSW)
Parallel and Larger-than-Memory Computing
Machine Learning with Satellite Data
Environments and Containers for Reusable Projects