In this step-by-step Python tutorial, you learn how to get started with The Jupyter Notebook, an open source web application that you can use to create and share documents that contain live code, equations, visualizations, and text.

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.

Oct 26, 2023 · 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. It is a popular tool among data scientists, researchers, and …

Sep 7, 2023 · 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.

1. What is the Jupyter Notebook? ¶ In this page briefly introduce the main components of the Jupyter Notebook environment. For a more complete overview see References.

Jan 28, 2025 · 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.

Jul 11, 2024 · 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. Jupyter has support for over 40 different programming languages and Python is one of them.

Mar 17, 2025 · 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.

The Jupyter project, and its subprojects, all center around providing tools (and standards) for interactive computing with computational notebooks. If you’re not familiar with some of those things, you can take a guided tour below that explains each one from the start.

Jupyter Notebooks combine code, output, visualizations, and text in a single document. The tool supports over 40 programming languages, with Python being the most commonly used. Beginners can easily install Jupyter using Anaconda or pip.