Verify that there is an existing Jupyter installation onto which a new kernel can be installed. Open a terminal window from which the jupyter command can be accessed and execute the command

jupyter kernelspec list

You should see a list of available kernels, such as Python. If you instead see an error message, your Jupyter installation may be incomplete.

Choose a writable directory somepath and generate a Jupyter kernel configuration directory using the Jupyter[GenerateKernelConfiguration] command, where somepath is written as a Maple string.

Jupyter[GenerateKernelConfiguration](somepath)

This should generate a subdirectory somepath/maple containing the files needed to add the Maple Kernel to the Jupyter installation.

Open a terminal window from which the jupyter command can be accessed and execute the command

jupyter kernelspec install somepath/maple

Depending on the nature of your Jupyter installation, this may require superuser privileges.

After installation, run Jupyter Notebook or JupyterLab as usual.

When you choose to open a new session (Console, Notebook, etc.) you should now see an option for a kernel called Maple 2024.

A Jupyter session with the Maple kernel is similar to the experience of other Jupyter kernels and uses the REPL (Read, Evaluate, Print, Loop) paradigm.

The user interacts with a notebook document which can contain text, images, or media as well as code cells.

The code cells accept Maple code input in a manner similar to Code Edit Regions in a Maple worksheet. The syntax accepted is identical to the normal Maple programming language.