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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. PyCharm - Wikipedia

    en.wikipedia.org/wiki/PyCharm

    PyCharm is developed by the Czech company JetBrains and built on their IntelliJ platform. [4] It is cross-platform, working on Microsoft Windows, macOS, and Linux. PyCharm has a Professional Edition, released under a proprietary license and a Community Edition released under the Apache License. [5]

  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. [13]

  5. JetBrains - Wikipedia

    en.wikipedia.org/wiki/JetBrains

    A data science tool for Jupyter Notebooks and Python. [26] Fleet Multi-purpose IDE, with support for collaboration and remote workflows. [27] GoLand: For Go development. [28] [29] IntelliJ IDEA: For Java virtual machine–based languages such as Java, Groovy, Kotlin, and Scala. An open-source version is available under the name IntelliJ IDEA ...

  6. 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.

  7. 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. [54] Cloud hosts useful Python packages, notebooks and environments for a wide variety of applications.

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  9. Binder Project - Wikipedia

    en.wikipedia.org/wiki/Binder_Project

    A common use of Binder is for sharing a Jupyter notebook in a way that the recipient can immediately execute in a browser. [3] The Binder project maintains core libraries and documentation for running Binder services, which make those projects available, as well as BinderHub, a tool for deploying such services via common cloud computing ...