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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.
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. [13]
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
The case study shows how a few tens of lines of scripting can interface with pandapower to advance the design of a system subject to diverse operating requirements. The associated code is hosted on GitHub as jupyter notebooks. [85] As of 2018, BNetzA, the German network regulator, is using pandapower for automated grid analysis. [86]
Project Jupyter#Jupyter Notebook; This page is a redirect. The following categories are used to track and monitor this redirect: To a section: ...
NotebookLM can generate summaries, explanations, and answers based on content uploaded by users. It also includes "Audio Overviews," which summarize documents in a conversational, podcast-like format.
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 ...