Have you ever spent an afternoon wrestling with a Jupyter notebook, hoping that you ran the cells in just the right order, only to realize your outputs were completely out of sync? Today's guest has a fresh take on solving that exact problem. Akshay Agrawal is here to introduce Marimo, a reactive Python notebook that ensures your code and outputs always stay in lockstep. And that's just the start! We'll also dig into Akshay's background at Google Brain and Stanford, what it's like to work on the cutting edge of AI, and how Marimo is uniting the best of data science exploration and real software engineering.
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Links from the show
Akshay Agrawal: akshayagrawal.com
YouTube: youtube.com
Source: github.com
Docs: marimo.io
Marimo: marimo.io
Discord: marimo.io
WASM playground: marimo.new
Experimental generate notebooks with AI: marimo.app
Pluto.jl: plutojl.org
Observable JS: observablehq.com
Watch this episode on YouTube: youtube.com
Episode #501 deep-dive: talkpython.fm/501
Episode transcripts: talkpython.fm
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Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive
            deep into the popular packages and software developers, data scientists, and incredible hobbyists doing
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#501: Marimo - Reactive Notebooks for Python