In this episode I speak about data transformation frameworks available for the data scientist who writes Python code. The usual suspect is clearly Pandas, as the most widely used library and de-facto standard. However when data volumes increase and distributed algorithms are in place (according to a map-reduce paradigm of computation), Pandas no longer perfo ... Show More
Oct 26
I wrote a chess engine and still can't play chess: AI coding and skill decay (Ep. 317)
I wrote a chess engine that beats real players. I still can't play chess. Developers who hand their coding to AI are heading the same way: they can build the machine but can't play the game. We go through the evidence (Anthropic, METR, Microsoft/CMU), the best counterarguments, a ... Show More
34m 48s
Oct 20
"Rust Is Amazing, as Long as Nobody Looks at It" - Fact-Checking DHH (Ep. 316)
DHH told Rails World that hand-written code is over, that HEY's backend is being AI-rewritten in Rust ("amazing, as long as you never look at it"), and that developer happiness no longer matters. This episode checks his statements. Struggling with AI and Software? Here is my new ... Show More
22m 56s
Oct 13
AI coding agents have a Mythical Man-Month problem (Ep. 315)
Fifty years ago Fred Brooks showed why adding more people to a late project makes it later. Today we do the same thing with tokens — more context, more autonomy, same myth, different currency. Struggling with AI and Software? Here is my new book available for purchase on https:// ... Show More
17m 29s
May 2023
675: Pandas for Data Analysis and Visualization
Wrangling data in Pandas, when to use Pandas, Matplotlib or Seaborn, and why you should learn to create Python packages: Jon Krohn speaks with guest Stefanie Molin, author of Hands-On Data Analysis with Pandas.
This episode is brought to you by Posit, the open-source data science ... Show More
1h 8m
May 2025
885: Python Polars: The Definitive Guide, with Jeroen Janssens and Thijs Nieuwdorp
Jeroen Janssens and Thijs Nieuwdorp are data frame library Polars’ greatest advocates in this episode with Jon Krohn, where they discuss their book, Python Polars: The Definitive Guide, best practice for using Polars, why Pandas users are switching to Polars for data frame operat ... Show More
1h 15m