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Agentic Data Science Pair Programming With marimo pair

Agentic Data Science Pair Programming With marimo pair

Episode 293 Published 12 hours ago
Description

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.

Topics:

  • 00:00:00 – Introduction
  • 00:02:26 – Trevor’s role at marimo
  • 00:03:08 – Current AI tools in marimo
  • 00:06:26 – Describing marimo notebooks
  • 00:10:11 – What is marimo pair?
  • 00:18:49 – Building an agent skill
  • 00:27:34 – Setup & installation
  • 00:31:16 – Video Course Spotlight
  • 00:32:42 – Examples of EDA and data wrangling
  • 00:45:46 – Experimenting inside of a notebook
  • 00:50:40 – Managing context
  • 00:53:25 – Accessing additional libraries
  • 00:57:16 – Recent tools and updates from the marimo community
  • 00:59:31 – What are you excited about in the world of Python?
  • 01:01:10 – What do you want to learn next?
  • 01:02:26 – How can people follow your work online?
  • 01:03:13 – Thanks and goodbye

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