Episode 228 of R Weekly Highlights is out! serve.podhome.fm/episodepage/... 📄Quarto on GitLab @nrennie.bsky.social 🛠️Functions over Idioms @jonocarroll.fosstodon.org.ap.brid.gy 📦{muttest} @jakub-sobolewski.bsky.social h/t @mike-thomas.bsky.social @jonocarroll.fosstodon.org.ap.brid.gy 🙏 #rstats

Issue 2026-W22 Highlights

The power of choice is in full effect! How you can leverage GitLab to publish your next Quarto document online, how to bring key R functional paradigms to…

serve.podhome.fm

I don't post on here usually (find me on Mastodon) but given that I'm actively seeking a new role, the more reach the better. I keep trying to use R functions like table() and which() when I'm writing Python but those don't exist... until now jcarroll.com.au/2026/05/22/f...

Functions over Idioms - Writing R in Python with rfuns

If you’ve read any of my past posts you know I like to program in several different languages, some of which I like more than others. Sometimes a problem calls for a particular language to be used, an...

jcarroll.com.au

I'm on the lookout for new opportunities to contribute to R tooling. If your org needs help developing/productionising an R pkg or R code, managing data access via db or API, or translating to/from R, let's discuss. All timezones supported. My services: jcarroll.com.au/page/services/

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jcarroll.com.au

Episode 215 of R Weekly Highlights is out! serve.podhome.fm/episodepage/... 🤖 AI Newsl @simonpcouch.com @sara-altman.bsky.social 🎙️ The Test Set @mchow.com @hadley.nz @wesmckinney.com 🤔 Haskell for DS @jonocarroll.fosstodon.org.ap.brid.gy h/t @mike-thomas.bsky.social Sam Parmar 🙏 #RStats #databs

Issue 2025-W50 Highlights

How the recent frontier LLM model releases compare for successfully generating R code, our take on the new Test Set data science podcast, and a surprising…

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Perhaps you saw the post series "Python is not a great language for data science"... well, here's Haskell IS a Great Language for Data Science https://jcarroll.com.au/2025/12/05/haskell-is-a-great-language-for-data-science/ #haskell :haskell: #rstats :rstats:

Haskell IS a Great Language for Data Science

I’ve been learning Haskell for a few years now and I am really liking a lot of the features, not least the strong typing and functional approach. I thought it was lacking some of the things I missed from R until I found the dataHaskell project. In this post I’ll demonstrate some of the features and explain why I think it makes for a good (great?) data science language.

jcarroll.com.au

w00t! - jarl can now run a linter to see if you've accidentally left a browser() in your #rstats code https://jarl.etiennebacher.com/rules/browser (my small contribution) I'm super excited about (crazy fast) Rust tooling making development smoother across other languages.

#introduction post: I'm Jonathan Carroll, known around the sites as jonocarroll but mainly fosstodon.org/@jonocarroll I'm mostly #rstats but learning #haskell, #julia, #rust, #APL, and #python. I work remotely from #australia and I blog at jcarroll.com.au Also learning #japanese and #tokipona

Irregularly Scheduled Programming

jcarroll.com.au