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  2. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    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. List of cells are different types of Cells for Markdown (display), Code (to execute), and output of the code type cells. [23]

  3. 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.

  4. Wikipedia talk:Wikipedia Signpost/Single/2025-01-15 - Wikipedia

    en.wikipedia.org/wiki/Wikipedia_talk:Wikipedia...

    I can look into it. Be warned that when I offer to look into a thing of a technical matter, I tend to utilize ChatGPT's SQL or Python code and waste Google Colab's generous resources. Jay Cubby 15:15, 17 January 2025 (UTC) The admin active information for PIA is found in my evidence section at WP:PIA5. While a spreadsheet exists for the AE data ...

  5. 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.

  6. Google Labs - Wikipedia

    en.wikipedia.org/wiki/Google_Labs

    Google Labs is an incubator created by Google to test and publicly demonstrate new projects. Labs; Google Labs' icon. Project type: Experiment: Funding agency: Google ...

  7. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  8. Mojo (programming language) - Wikipedia

    en.wikipedia.org/wiki/Mojo_(programming_language)

    Mojo was created for an easy transition from Python. The language has syntax similar to Python's, with inferred static typing, [30] and allows users to import Python modules. [31] It uses LLVM and MLIR as its compilation backend. [12] [32] [33] The language also intends to add a foreign function interface to call C/C++ and Python

  9. Markdown - Wikipedia

    en.wikipedia.org/wiki/Markdown

    Gruber wrote a Perl script, Markdown.pl, which converts marked-up text input to valid, well-formed XHTML or HTML, encoding angle brackets (<, >) and ampersands (&), which would be misinterpreted as special characters in those languages. It can take the role of a standalone script, a plugin for Blosxom or a Movable Type, or of a text filter for ...