About this episode
This episode discusses R's capabilities in data science, including building a computer and new features in bslib, mirai, and mori.
R is capable of many analyes in the world of data science, but can it build a computer? Also a massive usability feature landing in the latest bslib to power up your cards, and optimizing memory usage with the latest rleases of mirai and mori. Episode Links This week's curator: Jonathan Kitt - @jonathankitt.bsky.social (Bluesky) Building a Computer in R Introducing Toolbars: Supercharge your Cards and Inputs A memory model for production async R: mirai 2.7.0 and mori 0.2.0 Entire issue available at rweekly.org/2026-W23 Supplement Resources Mike's blog post: Reflections on AI and Security https://blog.ketchbrookanalytics.com/posts/2026-05-28-ai-security/ai-security.html 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 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: @rpodcast@podcastindex.social (Mastodon)…
People in this episode
Host: Eric Nantz
Topics covered
- data science
- R programming
- usability features
- memory optimization
- computer building
- async R
Keywords
- R programming
- data science
- bslib
- mirai
- mori
- computer building
- memory optimization
- async R
Mentioned in this episode
Organizations: bslib, mirai, mori, R-Weekly Highlights, Podcastindex.org, Ketchbrook Analytics
Books & works: Reflections on AI and Security
Places: Bluesky, Mastodon, X/Twitter
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