Another option is to keep using the Python kernel, but compile and run your C code via the operating system. This will often even work in cloud environments that don’t support the C kernel.

Jupyter Notebook installation and setup The easiest way to create and work with Jupyter Notebooks for Python is to set up an instance of the Anaconda distribution of Python.

At some point, we all need to show our work. Most programming work is shared either as raw source code or as a compiled executable. The source code provides complete information, but in a way that’s ...