Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We
dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing
amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community
by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite
packages and the hot new ones coming out of open source.
All content for Talk Python To Me is the property of Michael Kennedy and is served directly from their servers
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Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We
dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing
amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community
by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite
packages and the hot new ones coming out of open source.
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.
Talk Python To Me
Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We
dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing
amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community
by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite
packages and the hot new ones coming out of open source.
