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Jupyter Notebooks are an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. They are widely used in data analysis, scientific research, and machine learning projects to combine computational output with descriptive content. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala, making it a versatile tool for various disciplines. Notebooks are particularly favored for their ability to facilitate data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. By enabling users to integrate live code with rich text elements, such as paragraphs, equations, and charts, Jupyter Notebooks provide a comprehensive environment for interactive data science and scientific computing.
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's name is a reference to the three core programming languages supported by Jupyter, which are Julia, Python and R. Its name and logo are an homage to Galileo's discovery of the moons of Jupiter, as documented in notebooks attributed to Galileo.
Jupyter is financially sponsored by the Jupyter Foundation.
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