Executable Tutorials

Use Cases

Many organizations maintain collections of tutorials addressing realistic problems in a science domain, with runnable code examples written and kept current by experts in the tools. They are useful as:

• A trove of working snippets to copy and paste
• A maintained resource for self-guided learning
• A ready-to-use curriculum for hands-on workshops
• A suite of science domain-specific "integration tests" for the showcased libraries

Key Features

This repository demonstrates one way to configure a collection of tutorials, covering some core features:

• Source is in MyST Markdown which is easy for humans to edit and review.
• The executed examples—code and results—are published as a static site.
• The examples can be opened as Jupyter notebooks to run and edit:
  • In a user's local environment
  • In the cloud using Binder
  • (Experimental) In the user's browser via a Jupyter Lite app
• The examples can be tested using pytest, both locally and on CI.

Try It Out

• Read the published examples.

• Open it on Binder to run the examples in the cloud.

• Download and run the examples locally.

  git clone https://github.com/scientific-python/executable-tutorials

  For users of pixi:

  pixi run start

  Alternatively, install the requirements with pip and start JupyterLab.

  pip install -r requirements.txt
  jupyter lab

Make Your Own

See the Guide for Maintainers to create your own collection of tutorials.