0:17 - Introduction
2:16 - Three surprising features of R
2:53 - What is the tidyverse?
4:00 - Scatterplot of speed vs distance
5:22 - Introducing dplyr
7:51 - Introducing ggplot2
8:46 - A plot generated with ggplot2
9:57 - Diving into details of dplyr::mutate()
11:10 - Introducing the pipe, syntactic sugar
13:10 - First surprising feature of R: first class ASTs and environments
15:02 - Introducing dbplyr (SQL backend for dplyr)
17:35 - Significance of first class ASTs and environments
17:58 - Diving into the pipe
18:45 - Methods belong to functions, not classes
19:50 - Julia's OOP
20:25 - Significance of R's OOP
22:02 - Package Distribution is highly centralized
22:23 - Comparison of Software Distribution in R vs Python
25:46 - Summary of three surprising features of R
27:01 - From RStudio to Posit
28:30 - Mission of Posit
29:17 - Posit is a B Corp
30:25 - How Posit makes money
30:56 - Multilingual tools by Posit
31:20 - Introducing Quarto
32:10 - Introducing Pandoc
33:06 - Why Quarto?
34:32 - Goal of Quarto: Scientific Writing in Markdown
36:00 - Quarto Extensions
38:41 - Introducing Shiny for Python
43:30 - What is MLOps?
44:10 - Introducing Vetiver
45:34 - Conclusion
47:48 - Q&A
I would like to add timestamps to @hadley's talk: Embracing multi-lingual data science
Video URL: https://youtu.be/Zid-0-aSEGY
0:17 - Introduction 2:16 - Three surprising features of R 2:53 - What is the tidyverse? 4:00 - Scatterplot of speed vs distance 5:22 - Introducing dplyr 7:51 - Introducing ggplot2 8:46 - A plot generated with ggplot2 9:57 - Diving into details of dplyr::mutate() 11:10 - Introducing the pipe, syntactic sugar 13:10 - First surprising feature of R: first class ASTs and environments 15:02 - Introducing dbplyr (SQL backend for dplyr) 17:35 - Significance of first class ASTs and environments 17:58 - Diving into the pipe 18:45 - Methods belong to functions, not classes 19:50 - Julia's OOP 20:25 - Significance of R's OOP 22:02 - Package Distribution is highly centralized 22:23 - Comparison of Software Distribution in R vs Python 25:46 - Summary of three surprising features of R 27:01 - From RStudio to Posit 28:30 - Mission of Posit 29:17 - Posit is a B Corp 30:25 - How Posit makes money 30:56 - Multilingual tools by Posit 31:20 - Introducing Quarto 32:10 - Introducing Pandoc 33:06 - Why Quarto? 34:32 - Goal of Quarto: Scientific Writing in Markdown 36:00 - Quarto Extensions 38:41 - Introducing Shiny for Python 43:30 - What is MLOps? 44:10 - Introducing Vetiver 45:34 - Conclusion 47:48 - Q&A