Grow your data science skills at posit::conf(2024)

August 12th-14th in Seattle

Writing regular R code is straightforward: you tell R to do something, it does it, and then it returns control back to you. This is called synchronous programming. However, if you use R to coordinate threads, processes, or network communication, the regular model may be unable to do what you want, or it may only be able to do it with a significant performance penalty. In this talk I'll explain how asynchronous programming with the later package can handle these kinds of programming problems. I'll also show how to provide a synchronous interface for asynchronous code, so that users will have a simple, familiar way to use your code.


Subscribe to more inspiring open-source data science content.

We love to celebrate and help people do great data science. By subscribing, you'll get alerted whenever we publish something new.