I have a special episode for you this time around. We're coming to you live from PyCon 2024. I had the chance to sit down with some amazing people from the data science side of things: Jodie Burchell, Maria Jose Molina-Contreras, and Jessica Greene. We cover a whole set of recent topics from a data science perspective. Though we did have to cut the conversat ... Show More
Feb 28
#538: Python in Digital Humanities
Digital humanities sounds niche, until you realize it can mean a searchable archive of U.S. amendment proposals, Irish folklore, or pigment science in ancient art. Today I’m talking with David Flood from Harvard’s DARTH team about an unglamorous problem: What happens when the gra ... Show More
1h 12m
Feb 21
#537: Datastar: Modern web dev, simplified
You love building web apps with Python, and HTMX got you excited about the hypermedia approach -- let the server drive the HTML, skip the JavaScript build step, keep things simple. But then you hit that last 10%: You need Alpine.js for interactivity, your state gets out of sync, ... Show More
1h 16m
Feb 10
#536: Fly inside FastAPI Cloud
You've built your FastAPI app, it's running great locally, and now you want to share it with the world. But then reality hits -- containers, load balancers, HTTPS certificates, cloud consoles with 200 options. What if deploying was just one command? That's exactly what Sebastian ... Show More
1h 7m
Dec 2024
849: 2025 AI and Data Science Predictions, with Sadie St. Lawrence
Sadie St Lawrence returns for her 4th annual prediction episode on the Super Data Science Podcast. Together with host Jon Krohn, they reflect on 2024’s most transformative trends—like agentic AI and enterprise AI monetization—and predict what's coming in 2025, from AI-driven scie ... Show More
1h 18m
Aug 2025
911: The Future of Python Notebooks is Here, with Marimo’s Dr. Akshay Agrawal
Reproducibility, Python notebooks, and data science communities: Software developer Akshay Agrawal speaks to Jon Krohn about Marimo, the next-generation computational notebook for Python, how he built and fostered a thriving community around the product, and what makes this noteb ... Show More
58m 20s
Feb 2025
The Future of Data Engineering: AI, LLMs, and Automation
Summary
In this episode of the Data Engineering Podcast Gleb Mezhanskiy, CEO and co-founder of DataFold, talks about the intersection of AI and data engineering. He discusses the challenges and opportunities of integrating AI into data engineering, particularly using large langua ... Show More
59m 39s
Oct 2025
179: How I Use PRIVATE Data ETHICALLY In the New Era of AI
There is an impossible choice most organizations face. Companies building modern AI face a brutal, binary-feeling decision: either ship a privacy-first model that “kinda low key sucks,” or ship a high-performing model that likely exposes sensitive personal data. Luckily, there's ... Show More
8m 37s
Sep 2025
176: I Asked 7 Data Analysts What Tools They ACTUALLY Use
Before you start cramming tools to land a data job, ask yourself this: What tools are data analysts actually using every day? In this episode, I went straight to the pros—analysts at Google, Amazon, Apple, Tesla, Humana, Veterans United, 7-Eleven, and more—to hear which tools tru ... Show More
19m 39s