Interactive C++ for Data Science In our previous blog post “Interactive C++ with Cling” we mentioned that exploratory programming is an effective way to reduce the complexity of the problem. This post will discuss some applications of Cling developed to support data science researchers.| blog.llvm.org
Over the last decade we developed an interactive, interpretative C++ interpreter (aka REPL) as part of the high-energy physics (HEP) data analysis project – ROOT. We invested a significant effort to replace CINT, the C++ interpreter used until ROOT5, with a newly implemented REPL based on llvm – Cling. Cling is a core component of ROOT and has been in production since 2014.| ROOT