The LLVM Project Blog
Dec 20, 2020
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. In particular, interactively
probing data and interfaces makes complex libraries and complex data more
accessible users. We aim to demonstrate some of Cling’s features at scale;
Cling’s eval-style programming support; projects related to Cling; and show
interactive C++/CUDA.
Eval-style programming
cling::Value to store the execution result of the incremented variable