The Graph Notebook is an open-source Python package that provides an easy way to interact with graph databases using the Jupyter Notebook. In that way, it’s easy to present and share the results of your queries with others. Recently, we tried it out with Memgraph to create and query the supply chain dataset, and we really liked what we saw. Chapters 00:00:00 Intro 00:00:15 Graph Notebook 00:01:21 Prerequisites installation 00:05:56 Starting Jupyter Lab and intro to supply chain use case 00:11:30 Data import and schema exploration 00:13:21 Supply chain analysis 00:25:50 Outro 🔗 Useful links: Graph notebook repository: https://github.com/aws/graph-notebook Supply chain Jupyter Notebook: https://github.com/katarinasupe/graph-notebook/blob/add-memgraph-support-without-formatting/src/graph_notebook/notebooks/01-Getting-Started/06-Supply-Chain-Analysis-with-Memgraph.ipynb Analyze Supply Chain with Graph Notebook and Memgraph blog post: https://memgraph.com/blog/analyze-supply-chain-with-graph-notebook-and-memgraph Discord invite: https://www.discord.gg/memgraph Office hours: https://memgraph.com/office-hours