#519: Data Science Cloud Lessons at Scale

Talk Python To Me

เนื้อหาจัดทำโดย Michael Kennedy เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Michael Kennedy หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal

18d ago 1:02:56

MP3•หน้าโฮมของตอน

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on September 29, 2025 14:17 (7d ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

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
Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy

558 ตอน