"Half Stack Data Science" is a podcast by David Asboth and Shaun McGirr about the realities of Data Science in the enterprise business world.
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In this episode, we tackle the question of learning in the age of AI. Among other things, we talked about: whether worrying about AI is the same as worrying about calculators why David gets all his students to turn AI features off while learning why rising token prices might end up being a great thing whether AI slop is worse than human slop what we can learn from sailing as we think about our…
In this episode, we discuss: - Will people really just write all their own software instead of buying it? - Is the change management around GenAI projects any different from other technologies? - What is the right approach when giving people freedom to vibe code internal tools? - Is there room for a new role to emerge as a bridge between vibe coding and useful internal tools, a technical connector…
In the first episode of the new season, we discuss: whether it's a good thing that we can produce more with GenAI, how GenAI will force us to consider the purpose of education, how we are supposed to develop wisdom if GenAI can just build everything for us, how AI-written code introduces "cognitive debt", and in a roundabout way we discuss whether GenAI will kill software companies --- David’s…
In this episode, we wrapped up 2025 by reflecting on what we talked about on the podcast, where AI is and where it's heading, and looked ahead to 2026. We also discussed some of our favourite sci-fi books we read last year! Links from the show: - that YouTube video Shaun mentioned, "Are we stuck with the same Desktop UX forever?": https://www.youtube.com/watch?v=1fZTOjd_bOQ - our interview with…
In this episode, we spoke to Kirsten Hill. Dr Kirsten Hill is a researcher, writer, and the founder of bisque — a survey platform that actually cares if you get good data. She has a Ph.D. from the University of Pennsylvania, has led research for the Bill & Melinda Gates Foundation, and has worked with over 100 mission-driven teams on measurement & evaluation. This past year, she authored her first…
In this episode, we spoke to Richard Makara and Niko Korvenlaita who are CEO and CTO of reconfigured. reconfigured is a journal app that makes it incredibly easy to capture and retrieve on-going notes, thoughts & insights. Richard is the CEO and he has led growth and built go-to-market data systems in high-growth scale-ups. Niko is a second time founder and the CTO. He has been building end-to-end…
In this episode we talked to Simon Willison. Simon is the creator of Datasette, an open source tool for exploring and publishing data. He currently works full-time building open source tools for data journalism, built around Datasette and SQLite. Prior to becoming an independent open source developer, Simon was an engineering director at Eventbrite. Simon joined Eventbrite through their…
Season 4, all about AI, has launched! In the first episode of the new season we talked to Scott Hanselman. Scott is a programmer, teacher, and speaker. He works out of his home office in Portland, Oregon for Microsoft as the Vice President of Developer Community. He works on .NET, Open Source, and the Azure Cloud Developer Experience, but he also blogs about technology, culture, gadgets,…
In this episode, Shaun interviews David about his new book, The Well-Grounded Data Analyst. We talk about the data skill gap between the classroom and the real world that made David want to write this book, the importance of tackling real-world projects for further learning, and the underlying methodology of the book that helps you learn to solve any data problem. If you listen to the end, we also…
If you're an aspiring analyst and want to test your existing data skills on real-world problems while learning both new skills and a framework you can apply to any problem, David's book Solve Any Data Analysis Problem is available on the Manning website through the Early Access Program and it's out in print later this year. Find it at https://www.manning.com/books/solve-any-data-analysis-problem…
