xeus-cling
A Jupyter kernel for C++ that enables interactive computing with cling interpreter and xeus protocol.
What is xeus-cling?
xeus-cling is a Jupyter kernel for the C++ programming language that enables interactive computing in Jupyter notebooks. It combines the cling C++ interpreter with the xeus native Jupyter protocol implementation to provide a seamless REPL experience for C++ developers. This allows for rapid prototyping, data exploration, and educational use of C++ in an interactive environment.
C++ developers, researchers, educators, and data scientists who want to use C++ interactively in Jupyter notebooks for prototyping, data analysis, or teaching.
Developers choose xeus-cling because it offers a fully-featured, native C++ Jupyter kernel with rich output rendering, tab-completion, and inline help. It integrates tightly with the Jupyter ecosystem while leveraging the performance and expressiveness of C++.
Overview
Jupyter kernel for the C++ programming language
Use Cases
Best For
- Interactive C++ prototyping and data exploration in Jupyter
- Teaching C++ programming with immediate feedback in notebooks
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