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  2. Comparison of documentation generators - Wikipedia

    en.wikipedia.org/wiki/Comparison_of...

    fully cross-linked project-wide, including all hierarchy and dependency graphs, metrics tables, source code snippets, and source files full semantic analysis of source code, including parameter types, conditional compilation directives, macro expansions Javadoc: JSDoc: Yes JsDoc Toolkit: Yes mkd: Customisable for all type of comments 'as-is' in ...

  3. Mojo (programming language) - Wikipedia

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

    Mojo is a programming language in the Python family that is currently under development. [ 2][ 3][ 4] It is available both in browsers via Jupyter notebooks, [ 4][ 5] and locally on Linux and macOS. [ 6][ 7] Mojo aims to combine the usability of higher level programming languages, specifically Python, with the performance of lower level ...

  4. Comparison of online source code playgrounds - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_online...

    Playground Access PHP Ruby/Rails Python/Django SQL Other dbfiddle [am]: Free No No No Yes Db2, Firebird, MariaDB, MySQL, Node.js, Oracle, Postgres, SQL Server, SQLite, YugabyteDB

  5. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    Project Jupyter. Project Jupyter ( / ˈdʒuːpɪtər / ⓘ) is a project to develop open-source software, open standards, and services for interactive computing across multiple programming languages . It was spun off from IPython in 2014 by Fernando Pérez and Brian Granger. Project Jupyter's name is a reference to the three core programming ...

  6. Anaconda (Python distribution) - Wikipedia

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

    Anaconda is a distribution of the Python and R programming languages for scientific computing ( data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.

  7. CPython - Wikipedia

    en.wikipedia.org/wiki/CPython

    CPython is the reference implementation of the Python programming language. Written in C and Python, CPython is the default and most widely used implementation of the Python language. CPython can be defined as both an interpreter and a compiler as it compiles Python code into bytecode before interpreting it. It has a foreign function interface ...

  8. Literate programming - Wikipedia

    en.wikipedia.org/wiki/Literate_programming

    Jupytext plugin for Jupyter: Many Languages: Python: Markdown in comments No Yes nbdev: Python and Jupyter Notebook: nbdev is a library that allows one to develop a python library in Jupyter Notebooks, putting all code, tests and documentation in one place. Julia (programming language) Pluto.jl is a reactive notebook environment allowing custom ...

  9. Notebook interface - Wikipedia

    en.wikipedia.org/wiki/Notebook_interface

    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.