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...

Don’t let long running tasks hang your users Introducing ipc for Shiny

January 24, 2019

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 non-trivial computations are involved. ipc allows your Shiny Async workers to be cancelable and communicate intermediate results/progress back to the user interface.

About the speaker

Ian Fellows

Dr. Ian Fellows is a professional statistician with research interests ranging over many sub-disciplines of statistics. His work in statistical visualization won the prestigious John Chambers Award in 2011, and in 2007-2008 his Texas Hold'em AI programs were ranked second in the world. Applied data analysis is his passion. He is accustomed to providing insightful analysis and operationalizing these analyses in enterprise systems using a variety of programming languages and tools including R, Python, Java, MapReduce and Spark.