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#tidyverse

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#tidyverse purrr 1.1.0 is out - your functional programming toolkit now has parallel processing!

Production-ready parallel and distributed computing comes courtesy of mirai, scaling your workflows reliably on your local machine, local network or HPC cluster.

Huge thanks to the #rstats community for testing this out pre-release and helping shape what it is.

Amazing collective effort by @hadleywickham @lionel @davis.

Read all about it at:
tidyverse.org/blog/2025/07/pur

www.tidyverse.orgParallel processing in purrr 1.1.0The functional programming toolkit for R gains new capabilities for parallel processing and distributed computing using mirai.

Ever wonder how the #tidyverse came to be? 🤔 #TheTestSet 's first episode features @hadleywickham on his accidental empire of #RStats packages, bear encounters, and more!

Stream "Spreadsheets, bikes, and the accidental empire of R packages" at:

thetestset.co
• Spotify: open.spotify.com/episode/7Cta4
• Apple Podcasts: podcasts.apple.com/us/podcast/

Bleeding edge update for the #tidyverse purrr package. We've been working to make #rstats parallel maps even more seamless.

Introducing our shiniest new adverb: `in_parallel()`. Just wrap your function with it to take advantage of blazing fast parallel processing via mirai.

Utilise multiple cores on your own machine or distribute workloads across the network.

Please help us by testing it out! Install the pkg dev version via:

pak::pak("tidyverse/purrr")

purrr.tidyverse.org/dev/

#Tidyverse help needed! 🙏

Is there a simpler way of applying a function like mean() to a number of numeric variables with NAs?

class.data.clean |>
select(numeracy.average:numeracy.data_types) |>
summarise(across(everything(), \(x) mean(x, na.rm = TRUE)))

Because I just told my students that the #tidyverse is great because it's more intuitive, but I don't think they're going to buy this when I show them (absolute #Rstats beginners) this... 😨

Working on feeling more comfortable with Python. Figured out how to install Python and start a project with `uv`, which seems like the thing to learn. Going through the `polars` "getting started" now, which also seems like a good place to start coming from a strong #tidyverse background.

I'll take recommendations for an #rstats expert trying to get more comfortable with #Python !