10 Years of Data Science Tools...and What Happens Next
summary
RStudio reports 5 million runs per week and design lessons focus on watching users not just reading issue trackers, which leads to concrete features: a calculator-like console, breakpoints, and a data viewer optimized for heavy use. Positron is built on VS Code’s extension host so R and Python ship as language extensions, with an API for add-ins and extensions. The Positron data viewer supports a million rows and columns and can export viewer actions to reproducible code, balancing ergonomics with reproducibility.
AI-written summary · about
chapters (11)
- 0:00Welcome
- 5:07Tools shape thinking
- 10:51Building software for real people
- 18:45Why watch users
- 21:25Hiding complexity
- 24:36Tools that don’t frustrate
- 28:57Extensions empower users
- 34:01Tools reflect worldviews
- 37:14Reproducible science
- 43:45Toolmaking responsibility
- 44:10Q&A with Jonathan McPherson
related talks
01h 18mIntroducing Positron, a new data science IDE
21mEnd-to-end data science with the Positron IDE
05mCode-First Data Science
58mUpdates from Posit
17mSaving 1,000 hours with RStudio: selling R in your workplace
02h 00mEffective Visual Studio
21mNew language features in RStudio
22mRStudio Connect Past, present, and future
