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Jupyter is an open-source project that provides tools for interactive computing, primarily in the form of Jupyter Notebooks. These are interactive, web-based environments where users can combine live code, visualizations, and narrative text in a single document. It is widely used for data science, machine learning, academic research, and scientific computing. Jupyter supports various programming languages such as Python, R, and Julia, making it highly versatile and essential for collaborative data exploration and prototyping.
Originally developed as part of the IPython project, Jupyter has grown into a powerful ecosystem with components like JupyterHub for multi-user environments and JupyterLab, an advanced interface that provides an integrated development environment (IDE)-like experience. It enables users to create, share, and deploy interactive notebooks easily, fostering a collaborative atmosphere in both academic and enterprise settings. The Jupyter ecosystem helps in creating reproducible research, educational materials, and scalable data workflows, making it indispensable for modern data teams.
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