RStudio is becoming Posit in October. Learn more at posit.co
RStudio is becoming Posit in October.
Learn more at posit.co
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Next level training for you and your team
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
A single home for R & Python Data Science Teams
Scale, develop, and collaborate across R & Python
Easily share your insights
Control and distribute packages
RStudio
RStudio Server
Shiny Server
R Packages
RStudio Academy
RStudio Cloud
RStudio Public Package Manager
shinyapps.io
RStudio Team
RStudio Workbench
RStudio Connect
RStudio Package Manager
rstudio::global 2021 language interop
R & Python: Going Steady
January 21, 2021
While there has been a lot of excitement about the R and Python love story, there are still misconceptions that individuals, teams, or organizations must pick between R or Python. This talk will explain why this false choice exists, debunk the myths that cause teams to be stuck with only one tool, and clarify how data scientists can use both languages to be more effective. We will explore this love story's blossoming relationship by looking at updates to RStudio's packages and products that make it easier to develop and collaborate in R and Python. This talk is for individuals who want to uncover the benefits of multilingual data science, IT professionals who are skeptical their life can get better by supporting more languages, and data science managers interested in enabling their teams instead of forcing their data superheros to be subservient to particular tools.
Sean Lopps and Michael Chow Q&A 1
Sean Lopps and Michael Chow Q&A 2
Solutions Engineer
Sean has a degree in mathematics and statistics and worked as an analyst at the National Renewable Energy Lab before making the switch to customer success at RStudio. In his spare time he skis and mountain bikes and is a proud Colorado native.