Introduction: What is Jupyter?


In this section, we provide a brief overview of Jupyter, tools in the Jupyter ecosystem and introduce you to the communities of contributors involved in the project.

(A paragraph to describe Jupyter in a nutshell)

Why Jupyter?

(A paragraph for why Jupyter is good for doing geoscience data analysis)

About this resource

At workshops and town-halls, one of the recurring needs we have heard from the EarthCube and Geoscience communities is for onboarding resources for the Jupyter and open-source scientific python ecosystem.

The goal of this and several following sections is to be an onboarding resource for scientists who use computing in their research already and are interested in getting connected with interactive computing in Jupyter. This is not a comprehensive introduction to Python, but we will provide links and additional resources tailored to the scientific community.

This section includes an introduction to:

  • Jupyter Notebook and how it supports computational narratives that weave together text, code, figures and rich outputs

  • other projects in the Jupyter ecosystem including JupyterLab, JupyterHub, JupyterBook and Binder

  • components of the architecture and examples of tools that build upon it

  • the contributors and users who make up the Jupyter community, and pointers to places to connect on forums and social media


This resource is under construction. If you have questions, are interested in contributing to the development of tutorials, or have requests for tutorials, please feel free to post an issue on our GitHub repository.