pandas, every mention
8 scenes · ← back to pandas
tap a year for its mentions
every year anyone Shawn Wang 2Vasek Mlejnsky 1Jessica Rumbelow 1Jason Liu 1Eugene Yan 1David Kirkos 1Alessio Fanelli 1Akshay Agrawal 1
Verbatim, from the transcripts: the passages where pandas comes up
⚡️Automating Scientific Discovery - Jessica Rumbelow, Leap Labs
- ▶ 12:54 Jessica Rumbelow Maybe like you can get them to use tools and stuff, but still, even if they're, you know, messing around in Python and doing matplotlib and pandas and like, and whatnot, they're still basically
⚡️The Future of Notebooks - with Akshay Agrawal of Marimo
- ▶ 17:31 Akshay Agrawal Don't need to convert pandas.
Quadratic: The AI Spreadsheet
- ▶ 26:43 David Kirkos There's actually, yeah, we, we support pandas natively and, um, that is a, that is a big part of why it works so well.
Why Every Agent needs Open Source Cloud Sandboxes
- ▶ 59:00 Vasek Mlejnsky If you just run, I think it's Pandas code from, there's a recent, like, recent update.
[Paper Club] DocETL: Agentic Query Rewriting + Eval for Complex Document Processing w Shreya Shankar
- ▶ 2:28 Eugene Yan Essentially, what this is trying to do is it's trying to take database, database concepts and pandas data frame concepts and try to apply them to shapeless, uh, documents.
High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
- ▶ 42:55 Alessio Fanelli Like, we, we were talking on the Hacks podcast, they're like, some data science things, like, spin up this pandas, like, humans are never gonna ride again, because the models can just do very easily.
Ep 18: Petaflops to the People — with George Hotz of tinycorp
- ▶ 15:33 Shawn Wang The very pandas, uh, like API. 2 times in the scene