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  2. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    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.

  3. Mojo (programming language) - Wikipedia

    en.wikipedia.org/wiki/Mojo_(programming_language)

    [4] [5] [6] It is available both in browsers via Jupyter notebooks, [6] [7] and locally on Linux and macOS. [ 8 ] [ 9 ] 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 . [ 10 ]

  4. Visual Studio Code - Wikipedia

    en.wikipedia.org/wiki/Visual_Studio_Code

    Visual Studio Code was first announced on April 29, 2015 by Microsoft at the 2015 Build conference. A preview build was released shortly thereafter. [14]On November 18, 2015, the project "Visual Studio Code — Open Source" (also known as "Code — OSS"), on which Visual Studio Code is based, was released under the open-source MIT License and made available on GitHub.

  5. IPython - Wikipedia

    en.wikipedia.org/wiki/IPython

    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 .

  6. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    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.

  7. F Sharp (programming language) - Wikipedia

    en.wikipedia.org/wiki/F_Sharp_(programming_language)

    Support for Jupyter, nteract, and VSCode Notebooks; String Interpolation; Support for nameof; Open Type declarations; Enhanced Slicing; F# quotations improvements; Applicative Computation Expressions; Improved stack traces in F# async and other computation expressions; Improved .NET interop; Improved Map and Set performance in FSharp.Core

  8. Jupyter Notebook - Wikipedia

    en.wikipedia.org/?title=Jupyter_Notebook&redirect=no

    Project Jupyter#Jupyter Notebook; This page is a redirect. The following categories are used to track and monitor this redirect: To a section: ...

  9. Literate programming - Wikipedia

    en.wikipedia.org/wiki/Literate_programming

    Literate Programming by Donald Knuth is the seminal book on literate programming.. Literate programming is a programming paradigm introduced in 1984 by Donald Knuth in which a computer program is given as an explanation of how it works in a natural language, such as English, interspersed (embedded) with snippets of macros and traditional source code, from which compilable source code can be ...