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  2. 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 .

  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. 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. Jupyter Notebook - Wikipedia

    en.wikipedia.org/?title=Jupyter_Notebook&redirect=no

    From a subtopic: This is a redirect from a subtopic of the target article or section.. If the redirected subtopic could potentially have its own article in the future, then also tag the redirect with {{R with possibilities}} and {{R printworthy}}.

  6. Talk:Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Talk:Project_Jupyter

    Project Jupyter's name is a reference to the three core programming languages supported by Jupyter, which are Julia, Python and R, and also a homage to Galileo's notebooks recording the discovery of the moons of Jupiter.--Daniel Mietchen 19:07, 12 February 2021 (UTC) This manuscript was shown in 2022 to be fake.

  7. PyCharm - Wikipedia

    en.wikipedia.org/wiki/PyCharm

    Scientific tools integration: integrates with Jupyter Notebook, supports Anaconda as well as multiple scientific packages including Matplotlib and NumPy. Front-end and back-end web development: special support for Django, [9] Flask, [10] FastAPI [11] and Pyramid, [12] CSS [13] and JavaScript [14] assistance, Npm, Webpack and other JavaScript tools

  8. Why Am I Snacking So Much? (& How to Stop) - AOL

    www.aol.com/why-am-snacking-much-stop-125800077.html

    Try adding more of these to your meal plan and swapping them for unhealthy snacks to see if it makes a difference in how full and satisfied you feel. Liudmila Chernetska/Istockphoto 6.

  9. 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 ...