Tools in the Jupyter ecosystem#


This section provides an introduction to core tools in the Jupyter ecosystem with demonstrations of them in action in geoscience applications.

Ths section includes an introduction to:

  • JupyterLab, navigating the JupyterLab interfaces and an introduction to extensions that are useful for scientific work

  • The use and features that IPython adds for interactive computing

  • How IPython can be customized with a focus on rich displays for scientific objects

  • Using widgets to connect graphical controls such as slidebars and toggle buttons to your code

  • Managing state in your notebook and tips for communicating your work in a reproducible manner

  • Running JupyterLab on shared computational infrastructure (e.g. the cloud or High Performance Computing facilities)

  • Sharing a repository of notebooks so others can run them with Binder

  • Turning a collection of notebooks into a web-based book with Jupyter Book