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A Jupyter Notebook document is a JSON file, following a versioned schema, usually ending with the ".ipynb" extension. The main parts of the Jupyter Notebooks are: Metadata, Notebook format and list of cells. Metadata is a data Dictionary of definitions to set up and display the notebook. Notebook Format is a version number of the software.
A notebook interface or computational notebook is a virtual notebook environment used for literate programming, a method of writing computer programs. [1] Some notebooks are WYSIWYG environments including executable calculations embedded in formatted documents; others separate calculations and text into separate sections.
Enterprise users can write applications in multiple development environments, including Jupyter Notebook. [41] Dash Enterprise ships with several “development engines” for drag-and-drop application editing, application design, and automated reporting, as well as dozens of artificial intelligence and machine learning application templates.
Notebooks, notebook sections, section groups, tags (could be applied to content blocks) Yes Yes Yes [Notes 8] Yes Yes [Notes 9] Yes Yes Yes Yes Yes No Yes Imports: Evernote XML. [4] Exports: OneNote binary format. [5] MyInfo: Notebooks, sections, notes, tree, tags, custom attributes Yes Yes No Yes Yes No No No Yes Yes Yes Yes
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To change this template's initial visibility, the |state= parameter may be used: {{Microsoft Azure Services Platform | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar. {{Microsoft Azure Services Platform | state = expanded}} will show the template expanded, i.e. fully visible.
The following table lists the various web template engines used in Web template systems and a brief rundown of their features. Engine (implementation) [a] Languages [b]
Any other templates: See Category:Wikipedia templates Topics referred to by the same term This page is a list of project pages associated with the same title or shortcut.