Jupyter notebooks - A tool to write and share executable notebooks and data visualization

The goal of this lesson is to teach learners the user interface of JupyterLab, how Jupyter notebooks work, and what some common and powerful use cases are.

For many learners, notebooks are not a new concept, and our goal will be to demonstrate and discuss and guide towards good practices for reproducibility, collaboration, and reusability.

Prerequisites

• A reasonably recent version of Jupyter and JupyterLab, which is installed as part of the Conda environment for CodeRefinery workshops.

• Optional (we only demonstrate this): A reasonably recent version of Git to be able to work with the JupyterLab Git integration.

Core episodes

• Jupyter Notebooks
• JupyterLab and notebook interface
• A first computational notebook
• Notebooks and version control
• Sharing notebooks
• Summary

Optional episodes

• Shell commands, magics and widgets
• Examples of Jupyter features

Reference

• List of exercises
• Instructor guide
• Credit and license

About

• All lessons
• CodeRefinery
• Reusing