The second edition of the highly-regarded R for Data Science arrives with substantial updates, an adventure with "A Programming Language" that brings new perspectives to functional programming approaches, and a new take on reproducibility in data science combining R with the Nix packaging system.
Episode Links
- This week's curator: Eric Nantz - @theRcast (Twitter) & @[email protected] (Mastodon)
- R for Data Science, 2nd edition
- Array Languages: R vs APL
- Reproducible data science with Nix
- Entire issue available at rweekly.org/2023-W29
Supplement Resources
- R for Data Science 2nd Edition: https://r4ds.hadley.nz/
- APL: https://en.wikipedia.org/wiki/APL_(programming_language)
- Try APL in a browser: https://tryapl.org/
- Jonathan Carroll could be available for your next project! https://fosstodon.org/@jonocarroll/110726981972909319
- Linux Unplugged Episode 451 The NixOS Challenge https://www.jupiterbroadcasting.com/show/linux-unplugged/451/
- Zero to Nix - An unofficial, opinionated, gentle introduction to Nix https://zero-to-nix.com/
- It's not too late to register for Eric and Mike's Shiny in Production workshop at
posit::conf(2023)! https://reg.conf.posit.co/flow/posit/positconf23/attendee-portal/page/sessioncatalog?search=shiny&search.sessiontype=1675316728702001wr6r&search.day=20230918
Supporting the show
- Use the contact page at https://rweekly.fireside.fm/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 the R-Weekly Highlights podcast entry on the index.
- A new way to think about value: https://value4value.info
- Get in touch with us on social media
- Eric Nantz: @theRcast (Twitter) and @[email protected] (Mastodon)
- Mike Thomas: @mike_ketchbrook (Twitter) and @[email protected] (Mastodon)
