The Jupyter Notebook is a flexible tool that excels in presenting scientific results, especially those comprised of a mixture of text, code, graphics, and computer-generated plots. It consists of two parts: the notebook format and the Dashboard.

The notebook format is a JSON text string. JSON is a lightweight, flexible text protocol that makes it easy to share notebooks between collaborators.

The Dashboard contains all the tools required to build a notebook. At this level, a notebook is a series of cells, each of which contain either Markdown text, code, or raw text. Markdown is a simple text format that provides enough power to build useful HTML pages. Code cells can be written in any language that has a kernel which Jupyter supports (66+ at the last count), although the most popular language continues to be IPython. Raw text is for text that should not be converted before display.

Between these cell types, the developer has the ability to produce high-quality documents for external...