Episode Details

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

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• Get in touch with us on social media
  • Eric Nantz: @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/Twitter)
  • Mike Thomas: @mike_thomas@fosstodon.org (Mastodon), @mike-thomas.bsky.social (BlueSky), and @mike_ketchbrook (X/Twitter) 

Music credits powered by OCRemix
 

• Lost Woods Inglewood - Legend of Zelda: Link's Awakening - BenCousins - https://ocremix.org/remix/OCR00853
• Aerobotics - Mega Man 8 - Just Coffee - https://ocremix.org/remix/OCR03323