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  2. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    Jupyter Notebook is built using several open-source libraries, including IPython, ZeroMQ, Tornado, jQuery, Bootstrap, and MathJax. A Jupyter Notebook application is a browser-based REPL containing an ordered list of input/output cells which can contain code, text (using Github Flavored Markdown), mathematics, plots and rich media.

  3. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    It was developed by the Google Brain team for Google's internal use in research and production. [ 7 ] [ 8 ] [ 9 ] The initial version was released under the Apache License 2.0 in 2015. [ 1 ] [ 10 ] Google released an updated version, TensorFlow 2.0, in September 2019.

  4. Google Colab - Wikipedia

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

    This page was last edited on 26 November 2021, at 16:57 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

  5. Notebook interface - Wikipedia

    en.wikipedia.org/wiki/Notebook_interface

    As the notebook interface increased in popularity over the next two decades, notebooks for various computational back ends ("kernels") have been introduced, including MATLAB, Python, Julia, R, Scala, Elixir, SQL, and others. [16] [17] The variety of notebook interface has since been extended and new forms are still evolving. [18]

  6. Programming languages used in most popular websites

    en.wikipedia.org/wiki/Programming_languages_used...

    One thing the most visited websites have in common is that they are dynamic websites.Their development typically involves server-side coding, client-side coding and database technology.

  7. Google JAX - Wikipedia

    en.wikipedia.org/wiki/Google_JAX

    JAX is a machine learning framework for transforming numerical functions. [2] [3] [4] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and OpenXLA's XLA (Accelerated Linear Algebra).

  8. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Google Cloud Platform is a part [8] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.

  9. Replit - Wikipedia

    en.wikipedia.org/wiki/Replit

    Using a shared compute engine, code can be run and displayed the same to multiple users in a Repl. [22] Repl environments have built-in source control via Git [23] on all Repls and users can switch branches, push files, and revert code. Replit allows for the pulling of code from a GitHub repository and linking Repls to GitHub repositories. [24]