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Advanced Data Science
Collaboration and time travel- version control with git, github and RStudio
April 14, 2016
Hadley Wickham presents and demonstrates how understanding git & github will give you two data science superpowers. This is done through:
Collaboration: With git and github, you can easily work with others. You no longer have to email files back and forth, or fight over who’s editing which file in dropbox. Instead, you can work independently, and trust git to combine (aka merge) your work.
Time travel: git allows you to back in time to before you made that horrific mistake. You can replay history to see exactly what you did, and track a bug back to the moment of its creation. Git even allows you to do the code equivalent of travelling back in time to kill your own grandfather!
Hadley Wickham is the Chief Scientist at RStudio, a member of the R Foundation, and Adjunct Professor at Stanford University and the University of Auckland. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. You may be familiar with his packages for data science (the tidyverse: including ggplot2, dplyr, tidyr, purrr, and readr) and principled software development (roxygen2, testthat, devtools, pkgdown). Much of the material for the course is drawn from two of his existing books, Advanced R and R Packages, but the course also includes a lot of new material that will eventually become a book called “Tidy tools”.