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  2. Notebook interface - Wikipedia

    en.wikipedia.org/wiki/Notebook_interface

    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.

  3. 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.

  4. 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 ...

  5. Mojo (programming language) - Wikipedia

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

    [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]

  6. 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. [13]

  7. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    Jupyter Notebooks can execute cells of Python code, retaining the context between the execution of cells, which usually facilitates interactive data exploration. [5] Elixir is a high-level functional programming language based on the Erlang VM. Its machine-learning ecosystem includes Nx for computing on CPUs and GPUs, Bumblebee and Axon for ...

  8. Cython - Wikipedia

    en.wikipedia.org/wiki/Cython

    Cython (/ ˈ s aɪ θ ɒ n /) is a superset of the programming language Python, which allows developers to write Python code (with optional, C-inspired syntax extensions) that yields performance comparable to that of C.

  9. SimpleITK - Wikipedia

    en.wikipedia.org/wiki/SimpleITK

    SimpleITK: A Simplified Path to Insight - an online tutorial using Jupyter notebooks in Python. Organization on GitHub; Short examples illustrating how to use some of the library components are available on read the docs. Class and procedure documentation is available via Doxygen.