Jupyter Notebooks

Usage Guide

Tristan Ballard

Tristan Ballard

Created: Jan 1, 2023 - Updated: Aug 20, 2023

This guide will walk you through how to use our provided Jupyter Notebooks.

The Jupyter notebooks contained in this repo are from the software developers, data scientists, and developer advocates at Sust Global. These interactive, open-source (Apache 2.0 license) guides are designed to help you explore Sust Global data, work with our APIs and tools, and learn how to extract insights from our climate scenario analysis datasets.

Using the Notebooks

It is recommended that you start from the published docker image, which contains everything needed to run a Jupyter notebook server locally with all of the Developer Center notebooks.

The following command will first download the published image, then execute a server locally. Please note that SUST_API_KEY must be set to your own Climate Explorer API key:

docker run -e SUST_API_KEY="YOUR-API-KEY" -p 8888:8888 --pull=always -it us-central1-docker.pkg.dev/sust-dev-03/sustglobal-dev-center/jupyter-notebooks

If the command above is successful, you will be presented with a set of links to a local server. Click on the link that looks like http://localhost:8888/?token=XYZ (typically the last link printed to the terminal).

Now from your browser you should choose a notebook to start. A good place to begin is ClimateExplorerAPIDemo.ipynb, which is a quick demonstration of the python API client. Note the commentary in the first cell requiring further input from you. If you simply wish to see the example output from the notebook, it is available on Github.

When you are done, return to your terminal session and enter ctrl+C twice to stop the server.

Local Development

Please see the documentation on Github if you desire to work with local assets.

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