Yes, you can use Python with RStudio Team!
summary
Builds an end-to-end bike-availability pipeline for Capital Bikeshare that actually runs: live API ingest, stored pins from R ETL, random-forest model wrapped as a vetiver model pinned to RStudio Connect, deployed as a FastAPI endpoint and scheduled notebook updates on Connect. A Shiny for Python dashboard reads the pin and calls the API; changing the map color and redeploying updates the live app immediately. Shows concrete code paths, environment isolation, and a working deployment flow.
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chapters (6)
- 0:00Start
- 1:51Capital Bikeshare - # of bikes right now
- 2:29Bike Prediction in R
- 3:10Bike Prediction in Python
- 4:30Bike Prediction Workflow
- 5:38in RStudio Team
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