If you are attending the workshop:
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Go to the Openscapes 2i2c JupyterHub and Log in using your email as the username and the shared password. Select Python and choose a session size of 14.8 GB RAM / up to 3.75 CPUs. Most notebooks will run with this option unless otherwise noted.
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Review the prerequisites and workshop set up instructions for details.
If you are running the notebooks on your local machine:
- Follow the instructions for setting up Python environmnet locally.
To work with the notebooks or modules, clone the repository to your desired directory:
git clone https://github.com/nasa/ECOSTRESS-Data-Resources.gitIf you plan to edit or contribute to the ECOSTRESS-Data-Resources repository, we recommend following a fork and pull workflow: first fork the repository, then clone your fork to your local machine, make changes, push changes to your fork, then make a pull request back to the main repository. An example can be found in the CONTRIBUTING.md file.