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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. IPython - Wikipedia

    en.wikipedia.org/wiki/IPython

    Jupyter Notebook (formerly IPython Notebook) is a web-based interactive computational environment for creating, executing, and visualizing Jupyter notebooks. It is similar to the notebook interface of other programs such as Maple, Mathematica, and SageMath, a computational interface style that originated with Mathematica in the 1980s. [14]

  4. 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.

  5. List of Python software - Wikipedia

    en.wikipedia.org/wiki/List_of_Python_software

    Jupyter Notebook, an IDE that supports markdown, Python, Julia, R and several other languages. Komodo IDE an IDE PHOTOS Python, Perl, PHP and Ruby. NetBeans, is written in Java and runs everywhere where a JVM is installed. Ninja-IDE, free software, written in Python and Qt, Ninja name stands for Ninja-IDE Is Not Just Another IDE

  6. List of electronic laboratory notebook software packages

    en.wikipedia.org/wiki/List_of_electronic...

    An electronic lab notebook (also known as electronic laboratory notebook, or ELN) is a computer program designed to replace paper laboratory notebooks. Lab notebooks in general are used by scientists , engineers , and technicians to document research , experiments , and procedures performed in a laboratory.

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  8. Anaconda (Python distribution) - Wikipedia

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

    It also launched PyData community workshops and the Jupyter Cloud Notebook service (Wakari.io). [14] In 2013, it received funding from DARPA. [20] In 2015, the company had two million users including 200 of the Fortune 500 companies [10] and raised $24 million in a Series A funding round led by General Catalyst and BuildGroup. [21]

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