#519: Data Science Cloud Lessons at Scale

Talk Python To Me

Innehåll tillhandahållet av Michael Kennedy. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Michael Kennedy eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

3M ago 1:02:56

MP3•Episod hem

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

Links from the show

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: @[email protected]
X.com: @talkpython
Michael on Bluesky: @mkennedy.codes
Michael on Mastodon: @[email protected]
Michael on X.com: @mkennedy

566 episoder

#Python #Prog Languages #Data Science #Michael Kennedy #Michael Kennedy (@mkennedy #Tech