Issue 2026-W29 Highlights
An exciting new way to search and discover R packages wrapping novel technology, how the new checktor package finds the key issues standard...
Radio and PodcastLive Radio & Podcasts
Science & Medicine
R Weekly Highlights
The R Weekly podcast offers a quick description of the latest highlighted stories and other stories from the latest R Weekly issue, as curated by the R Weekly team and R community.
R Weekly Highlights Podcast Guide
Listen to R Weekly Highlights, a Science & Medicine podcast by Eric Nantz. Stream 235 episodes in English, follow new audio stories, and play episodes online on Radio and Podcast.
Show Topic
Browse this show under Science & Medicine podcasts.
Episodes
20 episodes are loaded now from a catalog of 235. More episodes can be opened from this page.
Discover More
Explore Science & Medicine podcasts, United States podcasts and English podcasts.
Episodes
20 of 235 episodesIssue 2026-W28 Highlights
A set of principles to enhance testing APIs created inside R, and the engine behind automatic reloading of rendered Shiny apps becomes avail...
Issue 2026-W26 Highlights
The R Core team receives a prestigious award in the world of Statistics, a month-long recognition of the rOpenSci package maintainers, and a...
Issue 2026-W25 Highlights
The evolution of Posit's data science agents, robust approaches to unnamed parameters in R functions, and the power of math and visualizatio...
Issue 2026-W24 Highlights
A friendly reminder on checking customization when upgrading R, how refactoring may not be so tedious when using the Jarl utility, and hones...
Issue 2026-W23 Highlights
R is capable of many analyes in the world of data science, but can it build a computer? Also a massive usability feature landing in the late...
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 functiona...
Issue 2026-W21 Highlights
Applying novel statistical and visualization techniques to predict war duration, why there is more than meets the statistical eye behind a c...
Issue 2026-W20 Highlights
A massive milestone for the language that eventually led to the R we know and love, plus a comprehensive look at two popular workflow framew...
Issue 2026-W19 Highlights
If Shiny wasn't awesome enough, a new toolkit is bringing the awesome to new heights! Plus a handful of ggplot2 functions that can immediate...
Issue 2026-W18 Highlights
How the new logrittr package gives you a peek behind the tidy pipelines of dplyr, and a fascinating glimpse into the universe of seeds going...
Issue 2026-W16 Highlights
After an unexpected break we are back with a new episode of R Weekly Highlights! If you thought the easiest way to create pivot tables was i...
Issue 2026-W09 Highlights
Choice is good, but sometimes you may want a little help! Our first two highlights showcase approaches you can take to inform your next LLM...
Issue 2026-W08 Highlights
A glimpse into the R Consortium Submissions Working Group's recent successes and future work, and a new way to view those nested lists from...
Issue 2026-W06 Highlights
A prominent leader at the intersection of data science and data engineering across multiple languages shares her insights, how a recent Git...
Issue 2026-W05 Highlights
The way LLMs can be a little stubborn when interpreting data visualizations, bringing new meaning to digging for your data and learning alon...
Issue 2026-W04 Highlights
The inside story of how Claude Code with the proper scope provided a massive boost to drafting hundreds of pull requests, and debunking the...
Issue 2026-W03 Highlights
It's a new year of R Weekly Highlights! In this episode we learn of the positive intellectual diversity impacting R and Python communities,...
Issue 2025-W51 Highlights
A retrospective that showcases favourite data visualisation projects and insights from 2025, a practical guide offering R package maintainer...
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, an...