"'notebook' denotes documents that contain both code and rich text elements, such as figures, links, equations, etc. On the other hand, you also have a notebook kernel and a notebook dashboard. The main components of the whole environment are, on the one hand, the notebooks themselves and the application. Now though, Jupyter Notebook supports many other languages (Source: How to install Jupyter Notebook on Mac using Homebrew). These programming languages were the original use case for Jupyter. 'Jupyter' is an acronym meaning Julia, Python, and R.
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