Effective Python and R collaboration

on YouTube ↗35m

" summary

Claims concrete interoperability: reticulate runs a Python interpreter inside R and translates dataframes and lists so an R Markdown file can run pandas and call a Python model, and a Shiny front end can drive Python maps and predictions. RStudio reports 54 percent engineering staff, 1,700 conference attendees, and recent investments in Apache Arrow. Deliverables include RStudio Server Pro launching Jupyter on Kubernetes, RStudio Connect scheduling notebooks and reproducing environments, and Package Manager mirroring CRAN — demos run and deployments work in the examples.

AI-written summary · about

" chapters (8)

1. 0:00Python and R collaboration
2. 3:31RStudio in Python/R ecosystems
3. 8:51Reticulate for Python-R integration
4. 15:22Multilingual data science tools
5. 17:53Python-R deployment challenges
6. 21:08RStudio Server Pro & Connect
7. 26:41Learning across Python/R communities
8. 28:48Call to action & resources

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