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.

Deploying the Jupyter Notebook container Using Proxmox Typically, self-hosted apps can be configured in a variety of ways, and Jupyter Notebook is no different.

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 combines live code, graphics, visualizations, and text in shareable notebooks that run in a web browser ...