What exactly is "data science" these days? (P...

Astral is joining OpenAI, which says a lot about where the center of gravity is moving for developer tools, LiteLLM got hit by a nasty supply-chain attack, and OpenCode blew up as the latest serious open source swing at the coding-agent stack. We've also got Rust doing a very pub ...  Show more

Adam talks with Tailscale co-founder and Chief Strategy Officer David Carney about where Tailscale is headed next: TSIDP, TSNet, multiple tailnets, and Aperture. They get into clickless auth (via TSIDP), TSNet apps, multiple tailnets for isolation and control, and Aperture, Tails ...  Show more

Everyone working in data science and AI knows about Anaconda and has probably “conda” installed something. But how did Anaconda get started and what are they working on now? Peter Wang, CEO of Anaconda and creator of PyData and popular packages like Bokeh and DataShader, joins us ...  Show more

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We have been building platforms and workflows to store, process, and analyze data since the earliest days of computing. Over that time there have been countless architectures, patterns, and "best practices" to ...

We’ve mentioned ML/AI in the browser and in JS a bunch on this show, but we haven’t done a deep dive on the subject… until now! Victor Dibia helps us understand why people are interested in porting models to the browser and how people are using the functionality. We discuss Tenso ...  Show more

The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are st ...