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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.
The default can be overridden (e.g. in source code comment) to Python 3 (or 2) syntax. Since Python 3 syntax has changed in recent versions, Cython may not be up to date with the latest additions. Cython has "native support for most of the C++ language" and "compiles almost all existing Python code". [7] Cython 3.0.0 was released on 17 July ...
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]
Scientific tools integration: integrates with Jupyter Notebook, supports Anaconda as well as multiple scientific packages including Matplotlib and NumPy. Front-end and back-end web development: special support for Django, [9] Flask, [10] FastAPI [11] and Pyramid, [12] CSS [13] and JavaScript [14] assistance, Npm, Webpack and other JavaScript tools
Microsoft Windows Microsoft Windows Journal: Microsoft: Included with Windows Windows XP Tablet PC edition, Windows Vista through Windows 10 v1511 Zettlr: Hendrik Erz GPL-3.0-or-later: macOS, Microsoft Windows, Linux Zim: Jaap Karssenberg GPL-2.0-or-later: Cross-platform (Python, GTK+) ZOHO Notebook: ZOHO Corporation: Freemium: Web app
[10] [11] [12] It is available both in browsers via Jupyter notebooks, [12] [13] and locally on Linux and macOS. [ 14 ] [ 15 ] 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 . [ 16 ]
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