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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.
NotebookLM (Google NotebookLM) is a research and note-taking online tool developed by Google Labs that uses artificial intelligence (AI), specifically Google Gemini, to assist users in interacting with their documents.
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.
Google Notebook was a free online application offered by Google that allowed users to save and organize clips of information while conducting research online. The browser-based tool permitted a user to write notes, clip text and images, and save links from pages during a browser session.
Google Workspace (formerly G Suite, formerly Google Apps) is a collection of cloud computing, productivity and collaboration tools, software and products developed and marketed by Google. It consists of Gmail, Contacts, Calendar, Meet and Chat for communication; Drive for storage; and the Google Docs Editors suite for content creation. An Admin ...
Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]
JAX is a machine learning framework for transforming numerical functions developed by Google with some contributions from Nvidia. [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).
Notebook interfaces are widely used for statistics, data science, machine learning, and computer algebra. [ 2 ] At the notebook core is the idea of literate programming tools which "let you arrange the parts of a program in any order and extract documentation and code from the same source file.", [ 3 ] the notebook takes this approach to a new ...