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Talk Python To Me

#549: Great Docs

Talk Python To Me

Michael Kennedy

Technology

4.8642 Ratings

🗓️ 25 May 2026

⏱️ 67 minutes

🧾️ Download transcript

Summary

Your documentation has two audiences now - humans reading the rendered HTML, and AI agents trying to make sense of your library. Rich Iannone and Michael Chow from Posit are back on Talk Python with a brand new Python documentation tool called Great Docs that takes both seriously. Rich is the creator of Great Tables, and before that the R package GT, the man has a serious eye for design, and he's pointed that energy at the Python docs ecosystem. We'll talk about how Great Docs spins up a polished site in three commands, why every page ships as Markdown for your favorite LLM, how it leans on Quarto for executable code blocks and tabbed install sections, and where it lands against Sphinx, MkDocs, and Zensical. Plus, you'll meet Tablin. Here we go.

Transcript

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0:00.0

Your documentation has two audiences now, humans reading the rendered HTML and AI agents making sense of your library.

0:07.0

Rich, Ionan, and Michael Chow from Posit are back on Talk Python with a brand new Python documentation tool called Great Docs that takes both seriously.

0:15.8

Rich is the creator of Great Tables, and before that, the R package GT.

0:19.7

The man has a serious eye for design, and he's

0:21.9

pointed that energy at the Python Dox ecosystem. We'll talk about how Great Docs spins up a polished

0:27.1

site in three commands, why every page ships as markdown for your favorite LLM, how it leans

0:33.0

on Cordo for executable code blocks and tabbed install sections, and where it lands against Sphinx, MakeDox, and Zincal. Plus, you'll meet Tablin. Here we go. This is Talk Python to Me. Episode 549 recorded May 19th, 2026. Talk Python to me. Yeah, we ready to roll. Upgrading the code. No no fear of getting old they sink in the air new

0:56.0

frameworks in sight geeky rap on deck quart crew it's time to unite we started in pyramid

1:01.6

cruise and old school lanes had that stable base yes sir welcome to talk python to me the number one

1:07.0

python podcast for developers and data scientists this is your your host, Michael Kennedy. I'm a PSF

1:12.6

fellow who's been coding for over 25 years. Let's connect on social media. You'll find me and

1:18.1

Talk Python on Macedon, Blue Sky, and X. The social links are all in your show notes. You can find

1:23.9

over 10 years of past episodes at TalkPython.fm, and if you want to be part of the show,

1:28.8

you can join our recording live streams. That's right, we live stream the raw, uncut version of each

1:33.7

episode on YouTube. Just visit TalkPython.fm slash YouTube to see the schedule of upcoming events.

1:39.8

Be sure to subscribe there and press the bell, so you'll get notified anytime we're recording.

1:44.1

Hey, friends, before we dive in, I want to share something I just launched over at Talk Python,

1:48.3

a new course. If you ship Python to production, you've probably had that quiet thought about

1:53.7

what might be lurking in your code. My new course turns that worry into a concrete workflow

1:59.3

and a reusable AI security agent that's yours

2:02.0

forever. It's Python Web Security, the OOS top 10 with agentic AI. Check it out at

2:08.4

TalkPython.fm slash AI dash web dash security. The link is in your podcast player and on the episode

...

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