- Project Jupyter | Home
Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala Notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer Your code can produce rich, interactive output: HTML, images, videos, LaTeX, and custom MIME types
- Project Jupyter - Wikipedia
Project Jupyter (pronounced "Jupiter") is a project to develop open-source software, open standards, and services for interactive computing across multiple programming languages
- Project Jupyter | Try Jupyter
The Jupyter team builds several end-user applications that facilitate interactive computing workflows Click the boxes below to learn how they work and to learn more
- How To Use Jupyter Notebook - An Ultimate Guide - GeeksforGeeks
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text
- How to use and run Jupyter Notebook: A beginners guide
In this tutorial, learn how to install, run and use Jupyter Notebook, an interactive environment for machine learning and data science project development
- Project Jupyter | Install - GitHub Pages
While Jupyter runs code in many programming languages, Python is a requirement (Python 3 3 or greater, or Python 2 7) for installing the Jupyter Notebook We recommend using the Anaconda distribution to install Python and Jupyter
- Project Jupyter | Installing Jupyter
Get up and running on your computer 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
- Jupyter Foundation
Over the last decade, Project Jupyter has defined what it means to explore data interactively, becoming the most widely used open source project of its kind and the basis for many industry-focused tools and products
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