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this week in #rstats 😎 - OLS in R 📈 @thomvolker.bsky.social - new bird data pkg 🐦 @jasminedaly.bsky.social - R -> Python 🐍 @marcdotson.com - {duckplyr} joins the tidyverse 🦆 @masalmon.eu - Shiny in Production news 🗣️ @jumpingrivers.com and more below! ✨ www.linkedin.com/pulse/week-r...
this week in #rstats 🕺 lots of AI-related news, an update on everything rOpenSci, some spatial machine learning, and a relatively rare base R function…👀 @simonpcouch.com @posit.co @jakubnowosad.com @ropensci.org @frankiethull.bsky.social check it out below! 💥 www.linkedin.com/pulse/week-r...
this week in #rstats 🕺 - spatialML pkgs 🌐 @jakubnowosad.com - {futureverse} 🔮 @henrikbengtsson.bsky.social - file-opening code 📂 @masalmon.eu - {mirai} 🚅 @shikokuchuo.net - Quarto speaker notes 🗣️ @rfortherestofus.com this and more below! 🔥 #news #quarto #data www.linkedin.com/pulse/week-r...
this week in #rstats 💥 - Air formatter v0.7.0 🛫 @davisvaughan.bsky.social @lionelhenry.bsky.social - intro to the {datapasta} package 🍝 @jenrichmondphd.bsky.social - testing Shiny apps 🧪 - learn brand.yml ™️ @rfortherestofus.com @grrrck.xyz and more below 🔥 www.linkedin.com/pulse/week-r...
11mo
11mo
May 30, 2025
Jun 13, 2025
Testing Claude 4 on R coding; the new {acquaint} package for MCP servers in R; {kuzco} for easy computer vision; spatial ML with {tidymodels}, and more!
www.linkedin.com
How to go from R to Python; the latest on {duckplyr} in the tidyverse; Shiny in Production announcements; a new avian dataset package and more!
www.linkedin.com
This week in R (2025-05-30)
This week in R (2025-06-27)
This week in R (2025-06-20)
The latest in asynchronous programming in R, from two big frameworks; file-opening helpers; specialised spatial ML; Quarto presentation tips, and more!
www.linkedin.com
Learn all about brand.yml; all you need to know about testing Shiny apps; a new version of Air has been released; an intro to the {datapasta} package and more!
www.linkedin.com
This week in R (2025-06-13)
Chris Brownlie
Chris Brownlie
Chris Brownlie
Chris Brownlie
this week in #rstats 🎆 - {quickr} Fortran transpiling 💨@jonocarroll.fosstodon.org.ap.brid.gy - Positron out of beta 🎂 @posit.co - C for R users 👩‍💻 @rladies.org @ellakaye.co.uk - {zap} for efficient serialising ⚡ @coolbutuseless.fosstodon.org.ap.brid.gy and more!👇 www.linkedin.com/pulse/week-r...
11mo
this week in #rstats 💥 - parallel {purrr} ⏸️ @shikokuchuo.net @hadley.nz @davisvaughan.bsky.social - Quarto from code 🛠️ @djnavarro.net - R+AI conf proposals 🎤 @terrychristiani.bsky.social - free monthly webinars 🎓 @jumpingrivers.com and more below! 💫 #data #news www.linkedin.com/pulse/week-r...
Positron's first stable release; contributing to base R with C; {zap} for efficient serialisation/compression; transpiling to Fortran with {quickr}, and more!
www.linkedin.com
11mo
this week in #rstats 🕺 - latest Claude Code thoughts 🤖 @simonpcouch.com - faceted {tinyplot}s 📊 @ereinbergs.bsky.social - {httr2} v1.2.0 🎯 @posit.co @hadley.nz - RAG with {ragnar}+{ellmer} ⚒️ @stephenturner.us @smachlis.bsky.social this and more below 😎 www.linkedin.com/pulse/week-r...
this week in #rstats 💥 - custom ggplot2 themes 🎨 @mansthulin.bsky.social - Air R formatter 💨 @yosky.bsky.social - teach R with Github Codespaces 👨‍🏫 @mickael.canouil.fr - Shiny in Production workshops 📣 @jumpingrivers.com - secure shiny 🔐 and more below! 🔥 #data www.linkedin.com/pulse/week-r...
This week in R (2025-07-04)
May 23, 2025
10mo
Chris Brownlie
www.linkedin.com
Generating Quarto documents from R code; free monthly webinars for R users; the exciting new addition to {purrr}; the first R+AI conference, and more!
This week in R (2025-07-11)
Chris Brownlie
Shiny security vulnerabilities; custom ggplot2 themes; the new superfast R formatter; Github Codespaces for teaching; Shiny in Production announcement and more!
Two introductions tot eh {ragnar} package for RAG in R; experiences with Claude Code for R dev; faceting {tinyplot} plots; the new {httr2} version, and more!
www.linkedin.com
This week in R (2025-05-23)
This week in R (2025-07-18)
www.linkedin.com
Chris Brownlie
Chris Brownlie
There are a lot of introductions to Python, but this one is mine. It includes a walkthrough of using uv for environment management, Polars for data wrangling, seaborn.objects for visualization, and scikit-learn for modeling. #rstats #python #pydata
Jun 14, 2025
This introduction to Python assumes you know R, which is used as an analogy to explain Python for data analysis.
occasionaldivergences.com
An introduction to Python for R users – Occasional Divergences
Hey #rstats if you're following me for @rconsortium.bsky.social news, you can go straight to the source now! We're on Bluesky! We'll be leaving that other place in September.
Marc Dotson