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  • Project Jupyter | Home
    The Jupyter Notebook is a web-based interactive computing platform The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media
  • Project Jupyter | Installing Jupyter
    Project Jupyter’s tools are available for installation via the Python Package Index, the leading repository of software created for the Python programming language This page uses instructions with pip, the recommended installation tool for Python
  • Project Jupyter | Try Jupyter
    Project Jupyter builds tools, standards, and services for many different use cases This page has links to interactive demos that allow you to try some of our tools for free online, thanks to mybinder org, a free public service provided by the Jupyter community
  • Project Jupyter Documentation — Jupyter Documentation 4. 1. 1 alpha . . .
    Project Jupyter Documentation # Welcome to the Project Jupyter documentation site Jupyter is a large umbrella project that covers many different software offerings and tools, including the popular Jupyter Notebook and JupyterLab web-based notebook authoring and editing applications
  • Install and Use — Jupyter Documentation 4. 1. 1 alpha documentation
    Install and Use # This page contains information and links about installing and using tools across the Jupyter ecosystem Generally speaking, the documentation of each tool is the place to learn about the best-practices for how to install and use the tool Jupyter Notebook Interface # The Jupyter Notebook interface is a Web-based application for authoring documents that combine live-code with narrative text, equations and visualizations GitHub Repo Docs
  • Jupyter Notebook - Notebooks
    Explore Jupyter Notebook with interactive, free online demos without installing anything
  • Try Jupyter — Jupyter Documentation 4. 1. 1 alpha documentation
    Try Jupyter (https: try jupyter org) is a site for trying out the Jupyter Notebook, equipped with kernels for several different languages (Julia, R, C++, Scheme, Ruby) without installing anything
  • Installing the classic Jupyter Notebook interface
    For new users, we highly recommend installing Anaconda Anaconda conveniently installs Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science Use the following installation steps: Download Anaconda We recommend downloading Anaconda’s latest Python 3 version (currently Python 3 9)
  • Running the Notebook — Jupyter Documentation 4. 1. 1 alpha documentation
    jupyter notebook --help See also Jupyter Installation, Configuration, and Usage Detailed information about command line arguments, configuration, and usage Using a command-line interface # Notebooks can be executed from your terminal using the execute subcommand It expects notebook paths as input arguments and accepts optional flags to modify
  • What is Jupyter? — Jupyter Documentation 4. 1. 1 alpha documentation
    The “Jupyter Notebook” or “JupyterLab” editing programs (or other Jupyter products) The name Jupyter comes from the three programming languages the project originally supported: Julia (ju), Python (pyt) and R (r)





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