Akshay Agrawal joins us to talk about Marimo and their vision for the future of Python notebooks, and how it’s the perfect canvas for AI-driven data analysis.

0:00 Introduction
0:46 Overview of Marimo and Its Features
2:33 Origin Story and Motivation Behind Marimo
4:26 Demo: Classical Machine Learning with MNIST in Marimo
6:52 Notebook Compatibility and Conversion from Jupyter
7:42 Demo: Interactive Notebook with Custom UI and Layout
10:08 AI-Native Utilities and Code Generation with Language Models
11:36 Dependency Management and Integration with UV Package Manager
13:00 Demo: Data Annotation Workflow Using a PS5 Controller
15:51 Starting from Scratch: Blank Canvas AI Use Cases
18:27 Context Formatting for AI Code Generation
19:54 Chat Interface and Local/Remote Model Support
21:01 WebAssembly Support and MoLab Cloud-Hosted Notebooks
23:21 Future Plans and Breaking Out of Old Notebook Habits
25:40 Running Marimo Notebooks as Scripts or Data Apps
26:44 Exploring AI Agents and Community Contributions
26:56 Call to Action: How to Get Started and Contribute