Furthermore, the flexibility and transparency of Jupyter Notebooks empower users to clone, customize, and fine-tune code snippets to meet specific functional objectives. With just a few lines of code, users can tailor visualizations to highlight trends, anomalies or correlations within the SLSP catalog metadata. As these notebooks are open-source, programming researchers and librarians have the freedom to fork and extend the source code, adding their own unique database APIs and features. The notebooks are freely accessible in both cloud (browser and server-based) and offline versions on GitLab at <ref xmlns="http://www.tei-c.org/ns/1.0" target="https://data.zb.uzh.ch/map/books/data-map-der-zentralbibliothek-zurich/page/jupyter-notebooks-der-zentralbibliothek-zurich">https://data.zb.uzh.ch/map/books/data-map-der-zentralbibliothek-zurich/page/jupyter-notebooks-der-zentralbibliothek-zurich</ref>.