When asked if that's on the road map for Shiny in R, Cheng responded: "We sure hope so." That's not possible for Shiny R apps today. In addition to the ability to deploy Shiny for Python on many of the same platforms as Shiny for R, such as shinyapps.io and RStudio server, a Shiny Python app can also be deployed to a static Web server thanks to Wasm (WebAssembly). However, he later quoted Dan Callahan's P圜on 2018 keynote: "Python is the second-best language for anything, that is an amazing aspiration." Cheng believes Python will be an excellent platform for the framework as well. However, Cheng said there's one interesting quirk of R that makes it ideal for a Web framework: Unlike almost any other modern programming language, R allows named arguments to be placed before positional ones within a function. At that time, R was considered by many to be a niche language for statistics and not appropriate for broader uses. "We think there's room for something new in the Python world," he said.īefore revealing the new framework, Cheng talked about the history of Shiny for R, which was made public 10 years ago in July 2012.
Why another framework? While not going into detail, Cheng said he believes each framework makes different tradeoffs and they can co-exist depending on user needs. Shiny for Python joins frameworks such as Dash and Streamlit in the Python space.
0 kommentar(er)
