Description: Data visualization is a critical component of scientific workflows to effectively communicate results and data-driven insights. While Jupyter notebooks are commonly used to serve static visualizations, the full suite of interactive Python tools is often underutilized.

This seminar will teach users how to leverage existing libraries to create dynamic, interactive visualizations directly within Jupyter. We will then introduce Marimo, a next-generation reactive notebook that addresses common pitfalls of traditional notebooks, ensuring reproducibility and state consistency. Users will then learn how to deploy these interactive notebooks as standalone, web-based dashboards, making data presentation more concise and interactive.

CUI