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- 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
- Install and Use — Jupyter Documentation 4. 1. 1 alpha documentation
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: How to Install and Use • Python Land Tutorial
Learn about Jupyter Notebook, part of the Jupyter Lab interactive IDE that is ideal for Data Science We’ll explore its advantages over a regular IDE, show you how to install Jupyter Notebook and Jupyter Lab and demonstrate its abilities
- The Jupyter Notebook — Jupyter Notebook 7. 4. 3 documentation
Jupyter Notebook is a notebook authoring application, under the Project Jupyter umbrella Built on the power of the computational notebook format, Jupyter Notebook offers fast, interactive new ways to prototype and explain your code, explore and visualize your data, and share your ideas with others
- How to Use Jupyter Notebook: A Beginner’s Tutorial - Dataquest
Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects It combines code, visualizations, narrative text, and other rich media into a single document, creating a cohesive and expressive workflow
- 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 It was spun off from IPython in 2014 by Fernando Pérez and Brian Granger
- 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
- How To Use Jupyter Notebook - An Ultimate Guide
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 Uses include data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more
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