#496 A lake house in Seattle

About this episode

Topics covered in this episode: • Pandas Should Go Extinct • Pydantic-pint puts real-world units in your Pydantic models • How Libraries Run Rust Inside Python (With PyO3) • AWS acquires DuckLabs • Extras • Joke Watch on YouTube Sponsored by Logfire from Pydantic: pythonbytes.fm/logfire Connect with the hosts • Michael: Mastodon / BlueSky / X / LinkedIn • Calvin: Mastodon / BlueSky / X / LinkedIn • Show: Mastodon / BlueSky / X Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am PT. Older video versions available there too. Finally, if you want an artisanal digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Calvin #1: Pandas Should Go Extinct • Pandas' slowness pushes teams toward "Big Data" tools (Spark, Databricks) they don't actually need — most workloads never hit true Big Data scale • Amazon Redshift telemetry: ~95% of tables are under 100GB, ~87% of queries touch 80GB or less — that's "Medium Data," not Big Data • Polars and DuckDB fill that gap: single-machine, fast, no cluster required • 1 Billion Row Challenge bench