Where Python Notebooks Fall Short: A New Paradigm for Reproducible, AI-Native Computing

Name: Where Python Notebooks Fall Short: A New Paradigm for Reproducible, AI-Native Computing
Start: 2026-10-06T16:30:00-04:00
End: 2026-10-06T18:00:00-04:00
Location: Private Location (sign in to display)

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Training/Workshop Programming Languages Research & Data Analysis Undergraduate Research

Tue, Oct 6, 2026

4:30 PM – 6 PM EDT (GMT-4)

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Details

marimo is an open-source reactive Python notebook that's git-friendly and reproducible. It's used for ML, AI, and data work at institutions including Stanford, Berkeley, Oxford, and UIUC, and companies like OpenAI, Anthropic, BlackRock, Shopify, Capital One, Cloudflare, and more. With molab (our free cloud-hosted notebook platform), students can open a marimo notebook and start coding instantly in the browser, without needing to set up anything. marimo’s roots in education make it a great fit for professors and researchers. You can see examples like this interactive signal decomposition tutorial or browse our STEM gallery.

Agenda:

Overview of marimo by Trevor Manz
marimo in the classroom by Prof. Andrew Rosen

Knowledge prerequisites: Some knowledge of Python would be beneficial.

Hardware/software prerequisites: Install marimo on your laptop or request an account on the Adroit cluster.

Workshop format: Presentation, demonstration and hands-on

Target audience: Students, researchers, faculty, staff

Speakers

Trevor Manz

Trevor Manz is a founding engineer of Marimo. He holds a PhD from Harvard University, where he worked on interactive visualization and open-source tools for scientific computing.

Andrew Rosen

Andrew Rosen is an Assistant Professor of Chemical and Biological Engineering at Princeton.

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