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  2. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    Examples include Amazon SageMaker Notebooks, [9] Google's Colab, [10] [11] and Microsoft's Azure Notebook. [12] Visual Studio Code supports local development of Jupyter notebooks. As of July 2022, the Jupyter extension for VS Code has been downloaded over 40 million times, making it the second-most popular extension in the VS Code Marketplace. [13]

  3. 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.

  4. 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 .

  5. Binder Project - Wikipedia

    en.wikipedia.org/wiki/Binder_Project

    A Binder or "Binder-ready repository" is a code repository that contains both code and content to run, and configuration files for the environment needed to run it. Since 2017, when the Binder Project was merged into the JupyterHub project, the development communities share many people in common. A common use of Binder is for sharing a Jupyter ...

  6. Cython - Wikipedia

    en.wikipedia.org/wiki/Cython

    Influenced by. C, Python. Cython ( / ˈsaɪθɒn /) 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. [ 5][ 6] Cython is a compiled language that is typically used to generate CPython extension modules.

  7. 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.

  8. nanoHUB - Wikipedia

    en.wikipedia.org/wiki/NanoHUB

    To complement the existing Rappture GUI tools within nanoHUB, the more recent browser based Jupyter notebooks are also available on nanoHUB, since 2017. Jupyter in nanoHUB offer new possibilities using the existing scientific software, and most notably all Rappture tools, within nanoHUB with the notebooks of interspersed code (e.g. Python ...

  9. Literate programming - Wikipedia

    en.wikipedia.org/wiki/Literate_programming

    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 order. But web-like macros aren't supported. Yes