data

What problem does it solve?

This Skill standardizes notebook workflows, enabling headless execution, editing, and dependency management with uv. It avoids using pip/venv and keeps CI parity with ruff, mypy, and pytest.

Core Features & Use Cases

• Notebook execution: run cells headlessly (with optional jtool if a server exists).
• Headless execution via uv: execute notebooks without a server when needed.
• Editing notebooks programmatically: patch or generate notebooks via JSON (nbformat).

Quick Start

uv run --with pandas --with matplotlib --with notebook python -m jupyter nbconvert --to notebook --execute your.ipynb --output your.ipynb --ExecutePreprocessor.timeout=180