Issue 2026-W06 Highlights

Issue 2026-W06 Highlights

From R Weekly Highlights by Eric Nantz

February 4, 2026 · 35 min · Episode 220

About this episode

The episode features insights on data science and engineering, a Git workshop, and a new transpiler for dplyr syntax.

A prominent leader at the intersection of data science and data engineering across multiple languages shares her insights, how a recent Git workshop tailored for data science de-mystifies common pitfalls, and for the second straight episode a new transpiler bringing dplyr syntax to databases (quite literally).  Episode Links  This week's curator: Jon Carroll - @jonocarroll@fosstodon.org (Mastodon) & @jonocarroll.fosstodon.org.ap.brid.gy (Bluesky) & @carroll_jono (X/Twitter) The Test Set Pod - Column selectors, data quality, and learning in public ( Episode link ) Git & GitHub: Practical Version Control for Data Work dplyr comes to duckdb Entire issue available at rweekly.org/2026-W06 Supplement Resources   Risk Conference 2026 Agenda (Mike is presenting!) https://rconsortium.github.io/Risk_website/program.html libdplyr https://github.com/mrchypark/libdplyr Supporting the show   Use the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedback R-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby , and then head over to…

People in this episode

Host: Eric Nantz

Topics covered

  • data science
  • data engineering
  • Git workshop
  • dplyr syntax
  • transpiler
  • data quality

Keywords

  • data science
  • Git
  • dplyr
  • transpiler
  • data engineering
  • workshop
  • data quality

Mentioned in this episode

Organizations: R Weekly Highlights, Git, GitHub, duckdb

Books & works: The Test Set Pod

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