Dev Conference by Neo4j
Session Track: Graphs
Session Time:
Session description
Jupyter Notebook, a popular and free tool for data analysts, provides an easy way to create and share computational documents based on Python. In this session, you will learn how to integrate insightful graph visualizations into Jupyter Notebooks using Neo4j databases and Graph Data Science (GDS) effortlessly. Using specific examples based on real-world data sets, Benjamin will demonstrate how to integrate beautiful visualizations for your connected data that help answer questions from temporal and spatial data analysis. By the end of this session, you’ll be capable of impressive data storytelling in Jupyter Notebooks with powerful graph visualizations using free tools.
Software Engineer, yWorks
Dr. Benjamin Niedermann is a software engineer at yWorks, where he focuses on developing algorithms for automatic graph layouts. He obtained his doctorate in Computer Science at the Karlsruhe Institute of Technology, Germany, and subsequently conducted research at the Geoinformation research group at the University of Bonn, Germany. His expertise lies in efficient algorithms in Graph Drawing, Computational Geometry, and Computational Cartography.
