podcast

Agentic Data Science Pair Programming With marimo pair

01.05.2026
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How do you add agent skills to your data science workflow? How can a coding agent assist with data wrangling and research? This week on the show, Trevor Manz from marimo joins us to discuss marimo pair.

Trevor is a founding engineer at marimo, where he’s been working on integrating LLM tools with marimo. We discuss the balancing act of building a skill and determining how to give an agent access to all the variables in a notebook. He shares how they built a specialized reactive REPL that eliminates hidden state and allows the agent to continue constructing a reproducible Python program.

We dig into installing and getting started with marimo pair. Trevor also covers several of the tasks an agent can tackle in a data science workflow.

Video Course Spotlight: Getting Started With marimo Notebooks

Discover how marimo notebook simplifies coding with reactive updates, UI elements, and sandboxing for safe, sharable notebooks.

Topics:

  • – Introduction
  • – Trevor’s role at marimo
  • – Current AI tools in marimo
  • – Describing marimo notebooks
  • – What is marimo pair?
  • – Building an agent skill
  • – Setup & installation
  • – Video Course Spotlight
  • – Examples of EDA and data wrangling
  • – Experimenting inside of a notebook
  • – Managing context
  • – Accessing additional libraries
  • – Recent tools and updates from the marimo community
  • – What are you excited about in the world of Python?
  • – What do you want to learn next?
  • – How can people follow your work online?
  • – Thanks and goodbye

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