
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.
| Publishes | Weekly | Episodes | 229 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Science | |||

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 tests with {mutagen} 0.2.0.
E... more
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 pioneers in open science with R. ... more
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 curator: Jon Calder - @jonmcalder@fo... more
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-hyped typesetting format for the s... more
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Apple Podcasts | #40 |
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This show curates practical, in-the-weeds updates from the R Weekly issue, with a focus on how R tools and workflows are used in data science, engineering, and analytics. Episodes emphasize real-world techniques—from data pipelines and Shiny apps to logging, reproducibility, and AI-assisted coding—along with licensing, governance, and community resources. The tone is accessible and practitioner-focused, often pairing tool comparisons (DBT, Targets, DuckDB, Shiny toolkits) with hands-on tips and quick discoveries that listeners can apply directly to their own projects. A standout strength is its ability to translate ongoing R ecosystem developments into actionable takeaways, making it useful for developers, data scientists, and data engineer... more
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R Weekly Highlights launched 6 years ago and published 229 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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8. Nicola Rinne
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