Using xeus-clang-repl

• Rapid Iteration: With xeus-clang-repl, you can write and execute C++ code interactively, seeing the results immediately. This REPL nature allows you to iterate quickly without the overhead of compiling and running separate C++ programs.

• Python-C++ Binding: To achieve C++ and Python integration within a Jupyter environment, we can use xeus-clang-repl. Thereby, you can write and execute C++ code interactively in this environment.

• Magic Commands: Jupyter notebooks support magic commands (%%python) and inline code execution for different languages. We use these features to run Python and C++ code in separate cells to achieve interactive communication between them.

• Learning and Teaching: C++ enthusiasts can use it to explain and experiment with C++ concepts in a live, interactive manner. Students can follow along and test code snippets in real-time, improving their understanding of C++. This also applies to C++ workshops and coding boot camps.

• Exploring C++ Libraries: You can explore the vast set of C++ libraries and frameworks without having to create a complete project. This allows you to quickly assess whether a library suits your needs by experimenting with its functions and classes.

• Collaborative Coding: Xeus-clang-repl can act as a shared environment where team members can experiment, debug, and discuss code in real-time.

• Debugging and Testing: You can isolate problematic code segments, experiment with multiple inputs, and interactively walk through your code to identify and fix the issues.