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Jupyter Notebook

When coding the badge in (micro)python, it can be useful to use a Jupyter Notebook. This allows you to keep a ‘scratch pad’ of code snippets that you can easily and quickly adapt and run on the badge, without having to manually copy-paste code between your editor and the REPL all the time.

Normally a Jupyter Notebook would run the python code on your development machine. To make it run the code on your badge instead, you use the Jupyter MicroPython Kernel.

You can see a quick video of a notebook in action here.


This setup works best with Python 3. The easiest way to install is to create a virtualenv:

~$ mkdir badgehacking
~$ cd badgehacking
~/badgehacking$ python3 -m venv environment
~/badgehacking$ source environment/bin/activate

Install jupyter:

~/badgehacking$ pip install jupyter

Download and install the Jupyter MicroPython Kernel:

~/badgehacking$ git clone
~/badgehacking$ pip install -e jupyter_micropython_kernel
~/badgehacking$ python -m jupyter_micropython_kernel.install

If all went well, jupyter should now show micropython in the list of available kernels:

~/badgehacking$ jupyter kernelspec list
Available kernels:
  micropython    /home/aengelen/.local/share/jupyter/kernels/micropython
  python3        /home/aengelen/badgehacking/environment/share/jupyter/kernels/python3


To start the notebook, first enter the virtualenv again:

~$ cd badgehacking
~/badgehacking$ source environment/bin/activate

Start Jupyter:

~/badgehacking$ jupyter notebook

This should start the jupyter server on your machine, and open a browser window to interact with it. In that browser window, choose ‘New…’ and select ‘MicroPython - USB’. This will open a new MicroPython-enabled Notebook.

This will show a page with a ‘block’ that accepts python code. You can use Ctrl+Enter to execute the code in the block, and Alt+Enter to create a new block.

Before you can execute any commands, you will need to connect the notebook to your badge via the serial bus by adding the special command %serialconnect to a block and executing it. When you see Ready. the connection was succesful. On some badges you need to issue this command twice.


Currently, a disadvantage of the Jupyter Notebook over using the REPL directly is that code completion (tab completion) is not yet supported in the Jupyter MicroPython Kernel. Jupyter does support completion with other kernels, so it is likely possible to add this feature in the future.


The documentation for the Jupyter MicroPython Kernel is quite good.