Create testable, reproduceable documentation with Jupyter notebooks
Creating technical documentation and blogs can often be cumbersome, particularly when it involves integrating code snippets. The method of copying and pasting code can lead to discrepancies and outdated references. This project provides an innovative solution by leveraging Jupyter Notebooks, enabling users to craft documentation that is not only visually appealing but also technically sound and reproducible. With Docusaurus, this setup allows for a seamless way to develop blogs and docs that are always in sync with the actual code.
By using this repo, you can guarantee that your documentation is fully testable and remains up to date. Whether you are writing a technical blog post or needing thorough documentation for your codebase, this approach streamlines the process in a way that eliminates many common pitfalls associated with traditional documentation methods.
Fully Testable Documentation: Your documentation can be checked with unit tests, ensuring accuracy and reliability.
Dynamic Code Output: No more outdated content—the output of code is generated in real time, ensuring it’s always current.
WYSIWYG Authoring: Authors can create content in a “What You See Is What You Get” format, facilitating faster iterations and revisions.
Markdown Compatibility: The environment allows for traditional markdown posts if preferred, providing flexibility in content formatting.
Easy Setup: The process starts with forking the repo and modifying a simple configuration file, making it user-friendly for developers.
Optimize for GitHub Pages: Designed with GitHub Pages in mind, it simplifies deployment for many users familiar with that platform.
Rich Environment Support: It integrates with various package managers and languages, giving developers options for their setup preferences.
Automatic Publishing: The setup allows for seamless updates and automatic publishing, streamlining the workflow for continuous documentation updates.
