#519: Data Science Cloud Lessons at Scale

#519: Data Science Cloud Lessons at Scale

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Episode
518 of 521
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1T 2M
Sprog
Engelsk
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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.

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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

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