marimo-notebooks

To convert Jupyter notebooks to reactive Python notebooks, use the marimo CLI tooling to transform .ipynb files into pure .py files with cell-based execution rules. The command `marimo convert notebook.ipynb -o notebook.py` exports results directly.

Create and run reactive Python notebooks using marimo CLI commands like `marimo new` to scaffold files, `marimo edit notebook.py` to author cells, and `marimo run notebook.py` to execute auto-reactive data analysis workflows.

Reactive Python notebooks are pure .py files where cells auto-execute based on dependency tracking. This mechanism ensures reproducible data exploration by automatically updating downstream cells when variables change, unlike traditional linear notebook formats.

Yes, marimo notebooks support team-based reproducible data analysis by storing notebooks as pure .py files. Teams can rapidly prototype, share, and run data exploration workflows across teammates using centralized templates and references.

Manage state and UI components in marimo reactive notebooks using centralized assets and references provided by the skill. These scaffolds accelerate notebook construction by supplying pre-built utilities for caching, state management, and frontmatter-driven discovery.

Yes, marimo works exclusively with pure .py files instead of JSON formats. This approach enforces frontmatter-driven discovery and cell-based execution rules, making notebooks version-control friendly and easily shareable across data science projects.