In this talk, you’ll learn how Jupyter’s cell-based code execution can be used to iterate on datasets in Blender.
We’ll explore a geographical dataset and show how interactive pandas DataFrames in Jupyter can update Blender shapes in real-time.
We’ll also dive into managing data using Geometry Nodes and Shaders.
New to coding? No problem! This session offers a broad overview of the setup, and all code resources will be shared afterwards.
Jan-Hendrik Müller is a Data Visualization Developer.
He creates interactive tools that connect data science with visual storytelling.