Services Available Hire Me

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/

open.spotify.com/episode/3ye4... -- interview with the author from this event events.unsw.edu.au/article/kali...

I also enjoyed the book and didn't make the connection to Vonnegut's Slaughterhouse Five until I heard this, but I had also recently read that

Jonathan Carroll (@jonocarroll@fosstodon.org) Attached: 1 image New post: Schotter Plots in R https://jcarroll.com.au/2026/04/17/schotter-plots-in-r/ in which I reproduce a famous plot in R based on translating some Python code, itself transla...

This also inspired me to write up the seed-based post I've been meaning to write fosstodon.org/@jonocarroll...

jcarroll.com.au/2026/04/17/s...

And takes a mere 16s to find the first of the seed values producing 'HELLO' and 'WORLD'

Thanks for the tips on setting the RNG and the chunked parallel search - works beautifully. My version: gist.github.com/jonocarroll/...

From a (set.)seed grows a mighty dataset Can you predict the output from this code?

This post is nearing 10 years old now, and the RNG in more recent versions of R won't reproduce the exact seed-words, but was fun to explore: jcarroll.com.au/2016/05/30/s...

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…

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

I'm also a big fan of Julia.

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.

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

jcarroll.com.au/2025/12/05/haskell-is-a-...

#haskell :haskell:
#rstats :rstats:

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.

Mastodon is definitely my go-to social media at this point, but I was disappointed in the presence at a recent tech event so here I am.

Irregularly Scheduled Programming

#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