Lots of scientific Python libraries are often used within Jupyter notebooks. At work, we develop and maintain plenty of such libraries for quantum computing, and some more higher-level ones include extensive user guides in form of Jupyter notebooks. Recently, I've been involved in building a new library, and it ended up containing a half dozen notebooks, covering everything from a quick start guide to niche applications and configuration examples. It being a completely new product, we wanted ...
