Graceful Internet Packages
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
How to join this free online event with Salix Dubois, Tan Ho and Matthias Grenié.
Join us for our next Community Call, “Graceful Internet Packages,” featuring Matthias, Tan, and Salix. In this session, we’ll explore how to design and maintain R packages that interact with online data sources. Our speakers will share practical lessons, examples, and best practices to help R package developers create reliable packages.
Speakers
Salix Dubois
With a background in art and biology, Salix is a self-taught programmer fluent in web technologies, R, and C++. An enthusiastic problem solver, they are passionate about open science and making research more accessible. They are the maintainer of the boldR package and work as a software analyst and web developer.
Tan Ho
Tan is a self-taught programmer who loves R, Shiny, NFL, and carving pumpkins. By day, he is an Engineering Manager for Teamworks Intelligence Soccer. Tan developed the DynastyProcess fantasy football Shiny app, maintains nflverse and ffverse pipelines and packages for NFL analytics, and mentors at DSLC Slack Community. You can find more about Tan at tanho.ca.
Matthias Grenié
Matthias is an Assistant Professor of Biostatistics at the University of Grenoble (France) at the Alpine Ecology Laboratory where he focuses his research on the distribution of plant functional traits at large scales. For his research he developed several R packages dealing with plant functional traits like fundiversity. You can learn more about his work on his website
Join Us!
- Who Everyone is welcome. No RSVP needed, simply connect and/or dial in at the time of the event.
- When Thursday, 06 November 2025 07:00 PST (Thursday, 06 November 2025 15:00 UTC)
- Find your timezone
- Add to Calendar.
-
How
Everyone is welcome. No RSVP needed.
Test your Zoom setup https://zoom.us/test.
Join the meeting: https://numfocus-org.zoom.us/j/88400983361?pwd=rmYgnEqs6tT0jPCG5PWCEccDSXAao0.1
Meeting ID: 88400983361 Passcode: 168787Find your local number to join by phone: https://zoom.us/u/adAyZGMYrE
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.