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Dreamcast assorted references:
Dreamcast overview https://sega.fandom.com/wiki/Dreamcast
History of Dreamcast development https://segaretro.org/History_of_the_Sega_Dreamcast/Development
The Rise and Fall of the Dreamcast: A Legend Gone Too Soon (Simon Jenner) https://sabukaru.online/articles/he-rise-and-fall-of-the-dreamcast-a-legend-gone-too-soon
The Legacy of the Sega Dreamcast | 20 Years Later https://medium.com/@Amerinofu/the-legacy-of-the-sega-dreamcast-20-years-later-d6f3d2f7351c

Socials & Plugs

The R Podcast https://r-podcast.org/
R Weekly Highlights https://serve.podhome.fm/r-weekly-highlights
Shiny Developer Series https://shinydevseries.com/
Eric on Bluesky https://bsky.app/profile/rpodcast.bsky.social
Eric on Mastodon https://podcastindex.social/@rpodcast
Eric on LinkedIn https://www.linkedin.com/in/eric-nantz-6621617/

R Stuff
What is R Again?
Great presentation by John Chambers at UseR! 2006 https://www.r-project.org/conferences/useR-2006/Slides/Chambers.pdf
The times have changed, now R is very much suited for production use and not just an academic research language
Highly recommend reading Advanced R for more comprehensive details on the quirks of the language https://adv-r.hadley.nz/index.html
R VS Python for Data?
Different philosophies on the use of the language
CRAN vs PyPi
Interoperability becoming more mainstream now
Visualization: R has always been leaps and bounds ahead (Grammar of Graphics, interactive widgets, etc)
R Dev Stack?
IDEs: RStudio, now Positron https://positron.posit.co/
Managing package installations with renv https://rstudio.github.io/renv/
Building web apps with Shiny: https://shiny.posit.co/ (I got so engrossed in this space that I created the Shiny Developer Series because of it)
Early adopter of using Docker with R in devcontainers with VS-Code.
New tech I’m excited about to enhance dev stacks and sharing apps
WebAssembly with webR https://docs.r-wasm.org/webr/latest/
Shiny apps in webR? Yes you can https://github.com/RConsortium/submissions-pilot4-webR
Managing dev environment combined with Nix: The rix package https://github.com/ropensci/rix

(More organized links for show notes)

R Language: https://r-project.org
Posit (formerly RStudio): https://posit.co
RStudio IDE https://posit.co/products/open-source/rstudio/
Positron (still in beta): https://positron.posit.co/
History of S and R presentation by John Chambers at useR! 2006: http://www.r-project.org/user-2006/Slides/Chambers.pdf
Advanced R (2nd edition) by Hadley Wickham https://adv-r.hadley.nz/index.html
Shiny - Easy interactive web applications with R: https://shiny.posit.co/
renv - Project environments for R: https://rstudio.github.io/renv/
R Markdown: https://rmarkdown.rstudio.com/
WebR - R in the browser: https://docs.r-wasm.org/webr/latest/
Rix - Reproducible Data Science environments for R with Nix: https://github.com/ropensci/rix

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