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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.
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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Anaconda Cloud is a package management service by Anaconda where users can find, access, store and share public and private notebooks, environments, and Conda and PyPI packages. [52] Cloud hosts useful Python packages, notebooks and environments for a wide variety of applications.
A common use of Binder is for sharing a Jupyter notebook in a way that the recipient can immediately execute in a browser. [3] The Binder project maintains core libraries and documentation for running Binder services, which make those projects available, as well as BinderHub, a tool for deploying such services via common cloud computing ...
Description Used by X: LEX source code file X: XBasic Source code file Xbasic: X3D: x3d and xdart Formats XAR: Xara graphics file Files created by Xara Photo & Graphic Designer (formerly Xara Xtreme and Xara Studio); early versions used the extension ART XAR: eXtensible ARchive: xar, 7-Zip: XBRL: eXtensible Business Reporting Language instance file
IPython continued to exist as a Python shell and kernel for Jupyter, but the notebook interface and other language-agnostic parts of IPython were moved under the Jupyter name. [ 11 ] [ 12 ] Jupyter is language agnostic and its name is a reference to core programming languages supported by Jupyter, which are Julia , Python , and R .