Because of the mix of code and text elements, these documents are the ideal place to bring together an analysis description and its results. "'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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