Jupyter Notebooks for Print Media [PyCon DE & PyData Berlin 2024]

nbprint is a Python library that helps create print-oriented media (PDF reports) from Jupyter notebooks while maintaining interactive capabilities

The library bridges nbconvert and page.js to enable professional PDF output with features like:

• Pagination
• Headers/footers
• Table of contents
• Multi-column layouts
• Custom CSS/JavaScript
• MathJax rendering

Reports can be parameterized to generate multiple versions with different inputs, useful for:

• Model assessments
• Financial reports
• Academic research
• News/documentation

No need to context switch between notebook development and report creation - research and presentation happen in the same environment

Supports common data science libraries like matplotlib, bokeh, and plotly with outputs properly rendered in PDF

Configurable via YAML files to define document structure and layout regions

Integration with tools like:

• Papermill for parameterized execution
• Pydantic for configuration models
• MathJax for equation rendering

Particularly useful for:

• Financial institutions requiring formal reports
• Academic research papers
• Municipal bonds documentation
• Model performance reporting
• On-demand document generation

Currently in active development but already functional for production use cases

Fills a gap in the Jupyter ecosystem focusing specifically on print media output rather than interactive dashboards/apps