Jupyter is an open-source web application used for interactive computing. It allows users to write and execute code, analyze data, and create visualizations in a web-based environment. It is widely used by data scientists, as well as in educational and research settings.

Jupyter is the result of a merger of two prior open-source projects, IPython and the NumPy scientific computing library. The name “Jupyter” is a combination of the words Julia, Python, and R, three of the main programming languages supported by the platform.

Jupyter runs on a web-server and can utilize multiple kernels (A Kernel is a program that runs and introspects the user’s code) to execute code from different languages, including Python, R, Julia, and even C#, F#, Haskell, and JavaScript. It seamlessly integrates code, data visualizations, plots, and media outputs. It is one of the primary platforms used to execute complex data science workflows by data scientists.

In research settings, Jupyter notebooks can also be used to create interactive documents containing both code and rich text elements such as equations, multimedia, etc. This makes it an ideal platform for collaboration among researchers in different fields.

Jupyter is also widely used in education. It encourages students to explore their data using code and visualizations, while fostering problem-solving and critical-thinking skills.

Jupyter is open source, and can be used for free. It is available as a Python package, but also as an online service hosted by various cloud providers, such as Google, Amazon, and Microsoft.

Jupyter is an increasingly popular choice for data analysis and visualization, used by software developers, data scientists, researchers, and students alike.

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