Hosted by Eric Nantz · 🇺🇸 US · EN-US · 229 episodes
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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.
Eric Nantz hosts R Weekly Highlights, a science show with 229 episodes published.
The R Core team receives a prestigious award in the world of Statistics, a month-long recognition of the rOpenSci package maintainers, and a collection of helpful tips for obtaining robust R code from AI agents. Ep
The evolution of Posit's data science agents, robust approaches to unnamed parameters in R functions, and the power of math and visualization collide in an unexpected way. Episode Links This week's curator: Sam Par
A friendly reminder on checking customization when upgrading R, how refactoring may not be so tedious when using the Jarl utility, and honest takes on various code smells you can prevent in your next testing suite.
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 latest bslib to power up your cards, and optimizing memory usage with the latest rle
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 a Python session, and adding a larger safety net with your unit t
Applying novel statistical and visualization techniques to predict war duration, why there is more than meets the statistical eye behind a classical model benchmarking statistic, and celebrating a major milestone for pio
A massive milestone for the language that eventually led to the R we know and love, plus a comprehensive look at two popular workflow frameworks across the R and Python ecosystems. Episode Links This week's
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 impact common visualization operations, and knitr gains support for a much-hype
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 far beyond a favorite 80's song. Episode Links This week's curator:
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 in Excel, the a new package just might change your perspective. Plus how you can
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 for analyses and open-source license. Plus how to make your mark(s) within your
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 a familiar face making his return to blogging! Episode Links This we
A prominent leader at the intersection of data science and data engineering across multiple languages shares her insights, how a recent Git workshop tailored for data science de-mystifies common pitfalls, and for the sec
The way LLMs can be a little stubborn when interpreting data visualizations, bringing new meaning to digging for your data and learning along the way, and the latest addition to the futureverse that seems too good to be
The inside story of how Claude Code with the proper scope provided a massive boost to drafting hundreds of pull requests, and debunking the myth on settling for compromises when prioritizing accessibility principles as d
It's a new year of R Weekly Highlights! In this episode we learn of the positive intellectual diversity impacting R and Python communities, a great starting point to create your first RAG-powered knowledge store, and a n
A retrospective that showcases favourite data visualisation projects and insights from 2025, a practical guide offering R package maintainers methods to gauge how their package is being used, and an R package release int
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 entry in the world of languages equipped for data science.
Prepare to deploy multiple LLM-powered agents for your next (secret) missions with mini007, a new contender to the high-performance linter tools with blazing performance that doesn't seem possible (but it is), and a uset
Creating your own race to a programming finish line with a hidden gem in mirai, the lowdown on using Generative AI for data visualization with more than a few surprises, and going from start to finish with a Shiny app cr
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R Weekly Highlights is hosted by Eric Nantz. The show is categorised under science and has published 229 episodes.
R Weekly Highlights has published 229 episodes.
R Weekly Highlights regularly covers science. It sits in the science category.
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