panpdf
panpdf is a powerful toolkit that bridges the gap between data science and academic publishing by seamlessly converting Jupyter Notebooks into high-quality PDF documents.
Key Features
- High-Fidelity Visualizations: Render matplotlib, seaborn, and holoviews plots in stunning PGF format for perfect LaTeX integration
- Scientific Excellence: Produce publication-ready documents with beautiful mathematical formulas and professional-looking figures
- Streamlined Workflow: Integrate with existing Jupyter-based data analysis pipelines
Getting Started
pip install panpdf
Usage
panpdf src -o a.pdf -n ../notebooks -d defaults.yaml -C
For more details, use panpdf --help
.
panpdf --help
Why panpdf?
As data science and academic research become increasingly intertwined, the need for tools that can produce professional publications directly from analysis code has never been greater. panpdf empowers researchers, data scientists, and technical writers to maintain a single source of truth — your Jupyter Notebook — while generating beautiful PDF documents suitable for:
- Academic papers and research articles
- Technical reports and documentation
- Data analysis presentations
- Educational materials and tutorials
Community & Contribution
panpdf is an open-source project that thrives on community contribution. Whether you're reporting bugs, suggesting features, or contributing code, your involvement helps make scientific publishing more accessible to everyone.
Join us in revolutionizing how data science meets academic publishing!