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Reposted by Amol Borkar

Hadley Wickham @hadley.nz · Jun 3

Want to easily use LLMs from R? ellmer 0.2.0 provides:

• Batch & parallel processing
• A universal parameter interface
• Cost tracking
• Support for Mistral, Hugging Face, & Portkey

And much more! Read all about it at: www.tidyverse.org/blog/2025/05... #rstats

ellmer 0.2.0

ellmer 0.2.0 lands with a swag of upgrades: Garrick Aden‑Buie joins the team, we make a couple of breaking changes, and add serious scale with `parallel_chat()` and `batch_chat()`. A new `params()` ...

www.tidyverse.org

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Reposted by Amol Borkar

Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · Jun 1

A lot of debugging is just having a good guess of what the likeliest mistake is

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Amol Borkar @amolborkar.bsky.social · May 29

New day, new blog. This week I talk about why Functional programming matters and how to adopt it.

#rstats #python

open.substack.com/pub/borkar/p...

Why You Should Care About Functional Programming (Even in 2025)

A History Lesson and Practical Introduction to Core Tenets of Functional Programming

open.substack.com

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Reposted by Amol Borkar

Hannes Mühleisen @hannes.muehleisen.org · May 27

It's a big day for us - we are finally launching #DuckLake, a new Lakehouse format! bsky.app/profile/duck...

DuckDB @duckdb.org · May 27

Today we're launching DuckLake, an integrated data lake and catalog format powered by SQL. DuckLake unlocks next-generation data warehousing where compute is local, consistency central, and storage scales till infinity. ⁠ducklake is an open standard and we implemented it in the "ducklake" extension.

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Amol Borkar @amolborkar.bsky.social · May 27

For the first #tidytuesday post wanted to share this benchmark of data.frame vs data.table across common ops on datasets up to 10M rows.

Full #rstats breakdown here 👉 open.substack.com/pub/borkar/p...

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Amol Borkar @amolborkar.bsky.social · May 26

Love seeing elements from functional languages show up in unlikely places. This will save us writing 5 CTEs before the actual query.

Matthew Mullins @mmullins.coginiti.co · May 13

Snowflake is adding a SQL pipe operator

You can use the new pipe operator (->>) to chain SQL statements together. In the chain of SQL statements, the results of one statement can serve as the input to another statement.

#databs #dontloveit

Preview — 9.13 Release Notes | Snowflake Documentation

docs.snowflake.com

Reposted by Amol Borkar

Clément Canonne @ccanonne.github.io · May 26

Folks—I think I've lost the plot

An empty plot (the frame is there, but no plot is inside)

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Reposted by Amol Borkar

Didier Brassard @didierbrassard.bsky.social · May 23

Great tips to improve your R coding experience

Amol Borkar @amolborkar.bsky.social · May 22

In this week's #rstats blog, I talk about small #R workflow changes that compound into massive productivity gains.

Link: open.substack.com/pub/borkar/p...

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Amol Borkar @amolborkar.bsky.social · May 22

In this week's #rstats blog, I talk about small #R workflow changes that compound into massive productivity gains.

Link: open.substack.com/pub/borkar/p...

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Reposted by Amol Borkar

Steven Ponce @sponce1.bsky.social · May 4

📊 #TidyTuesday – 2025 W18 | NSF Grant Terminations under the Trump Administration
.
🔗: stevenponce.netlify.app/data_visuali...
.
#rstats | #r4ds | #dataviz | #ggplot2

Scatter plot showing analysis of 1,041 terminated NSF grants totaling $613.26M, representing 1293.5 years of lost research time. The visualization is divided into four quadrants showing different grant clusters: Early-stage Mega Grants (51 grants, 66% complete, 547 days left), Early-stage High-value Grants (382 grants, 81% complete, 236 days left), Late-stage High-value Grants (353 grants, 32% complete, 865 days left), and Late-stage Mid-value Grants (255 grants, 86% complete, 192 days left). Each cluster is represented in a different color (orange, teal, purple, and pink), with point size indicating days remaining. The y-axis shows the funding amount on a logarithmic scale, and the x-axis shows the percentage of grants completed.

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Amol Borkar @amolborkar.bsky.social · May 2

Love this!

Simon P. Couch @simonpcouch.com · May 2

stacks 1.1.0 is now on #rstats CRAN!

stacks implements model ensembling for the tidymodels framework. This release introduces support for parallelism with the futureverse as part of our push to modernize tidymodels' parallelism support.

github.com/tidymodels/s...

Release stacks 1.1.0 · tidymodels/stacks

Model stack and data stack print methods no longer raise conditions to print to the console (#228). Added missing commas and addressed formatting issues throughout the vignettes and articles. Bac...

github.com

Reposted by Amol Borkar

Chris Brownlie @bsky.chrisbrownlie.com · May 2

this week in #rstats ✨
- Positron tips & tricks 🖥️ @albertrapp.bsky.social
- DuckDB+R=🔥 @amolborkar.bsky.social @duckdb.org
- Comparing spatial ML in R 🗺️ @jakubnowosad.com
- Why R & Python are friends 🤝

this and more below! 🏃

#news #data #python

www.linkedin.com/pulse/week-r...

This week in R (2025-05-01)

Deep dive into R-Python interoperability; getting the most out of Positron IDE; spatial ML in R comparisons; evidence supporting DuckDB & R usage, and more!

www.linkedin.com

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Amol Borkar @amolborkar.bsky.social · May 1

Great catch, I’ve updated the blog thanks.

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Amol Borkar @amolborkar.bsky.social · May 1

My post getting liked by the creator of DuckDB wasn't on my Thursday bingo :)

Checkout the blog here: tinyurl.com/RwithDuckDB

#rstats #duckdb #analytics

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Amol Borkar @amolborkar.bsky.social · May 1

This weeks blog is up. I talk about how @duckdb.org gels really well with #rstats and why you might wanna give it a try.

open.substack.com/pub/borkar/p...

Supercharge your R workflows with DuckDB

Speed up your data wrangling in R without rewriting your codebase. DuckDB lets you keep using dplyr-style syntax while handling large datasets effortlessly.

open.substack.com

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Amol Borkar @amolborkar.bsky.social · Apr 26

Thank you :)

Reposted by Amol Borkar

useR! - The R User Conference @user-conf.bsky.social · Apr 22

@hadley.nz Wickham is a developer and teacher whose impact on the R ecosystem is immense. He is Chief scientist at @posit.co where he leads the Tidyverse team. His keynote "I wrote this talk with an LLM" explores how AI can help rather than replace data scientists.

Register: user2024.r-project.org