Listen

Description

Today on Talk Python: What really happens when your data work outgrows your laptop. Matthew Rocklin, creator of Dask and cofounder of Coiled, and Nat Tabris a staff software engineer at Coiled join me to unpack the messy truth of cloud-scale Python. During the episode we actually spin up a 1,000 core cluster from a notebook, twice! We also discuss picking between pandas and Polars, when GPUs help, and how to avoid surprise bills. Real lessons, real tradeoffs, shared by people who have built this stuff. Stick around.



Episode sponsors



Seer: AI Debugging, Code TALKPYTHON

Talk Python Courses


Matthew Rocklin: @mrocklin

Nat Tabris: tabris.us



Dask: dask.org

Coiled: coiled.io



Watch this episode on YouTube: youtube.com

Episode #519 deep-dive: talkpython.fm/519

Episode transcripts: talkpython.fm



Theme Song: Developer Rap

🥁 Served in a Flask 🎸: talkpython.fm/flasksong



---== Don't be a stranger ==---

YouTube: youtube.com/@talkpython



Bluesky: @talkpython.fm

Mastodon: @talkpython@fosstodon.org

X.com: @talkpython



Michael on Bluesky: @mkennedy.codes

Michael on Mastodon: @mkennedy@fosstodon.org

Michael on X.com: @mkennedy