Jupyter lets you create interactive notebooks containing code, text, and rich media that you can share with your friends.
We created a Jupyter Notebook package (called a Kernel) for you to run CircuitPython code directly from a Jupyter interactive notebook.
That means your code lives in your web-browser and executes on the CircuitPython hardware through a serial USB link.
We're going to learn how to combine Jupyter with CircuitPython to create interactive notebooks for your hardware.
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
This is great news for people who are already comfortable with Jupyter, but also for educators, developers and workshop-organizers.
In this learn guide, we're going to walk through installing Jupyter Notebook, installing the Jupyter CircuitPython kernel, and uploading Jupyter Notebook examples.