Videos
Learn data science with Posit videos
Explore Posit’s video library for R, Python, and data science tutorials. Learn best practices, workflows, and techniques from our experts.
Explore our resources
Filter by:
674 Resources
Video
Cultivating creativity in data work
Traditionally, statistical training has focused primarily on mathematical derivations, proofs of statistical tests, and the general correctness of what methods to use for certain applications.
Video
Democratizing R with Plumber APIs
The Plumber package provides an approachable framework for exposing R functions as HTTP API endpoints. This allows R developers to create code that can be consumed by downstream frameworks, which...
Video
Don’t let long running tasks hang your users Introducing ipc for Shiny
Long running tasks in Shiny are not cancelable and typically lock the user interface while running. This talk introduces the ipc package, which helps you build dynamic applications when...
Video
Effective use of Shiny modules in application development
As a Shiny application grows in scale, organizing code into reusable and streamlined components becomes vital to manage future enhancements and avoid unnecessary duplication.
Video
Empowering a data team with RStudio addins
RStudio addins provide a mechanism to extend RStudio in various ways. Addins can interact with the RStudio IDE through RStudio API. It can also provide users a graphical interface with...
Video
Getting it right: Writing reliable and maintainable R code
How can you tell that your scripts, applications, and package functions are working as expected? Are you sure that when you make changes in one part of the code, it won't break something in...
Video
Integrating React.js and Shiny
React.js is a thriving JavaScript library that eases encapsulating and sharing sophisticated component libraries. The React.js ecosystem is filled with components for doing everything from...