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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.
CoCalc supports Jupyter notebooks, which are enhanced with real-time synchronization for collaboration and a history recording function. Additionally, there is also a full LaTeX editor, with collaboration support, a preview of the resulting document and also support for SageTeX .
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 .
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.
Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]
Calligra Sheets (formerly KSpread and Calligra Tables) is a free software spreadsheet application that is part of Calligra Suite, an integrated graphic art and office suite developed by KDE.
Mathcad's central interface is an interactive notebook in which equations and expressions are created and manipulated in the same graphical format in which they are presented (WYSIWYG). This approach was adopted by systems such as Mathematica , Maple , Macsyma , MATLAB , and Jupyter .
[5] [6] [7] It is available both in browsers via Jupyter notebooks, [7] [8] and locally on Linux and macOS. [ 9 ] [ 10 ] Mojo aims to combine the usability of a high-level programming language , specifically Python , with the performance of a system programming language such as C++ , Rust , and Zig . [ 11 ]