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Jupyter Notebooks

datamachine-learning
Adopt

Jupyter Notebooks are interactive computing environments that enable users to create and share documents containing live code, equations, visualizations, and narrative text. Originally developed for Python, Jupyter Notebooks support multiple programming languages through kernels. Users can write and execute code in individual cells, allowing for an iterative and exploratory approach to data analysis, scientific computing, machine learning, and more. Notebooks are organized into a sequence of cells, where each cell can contain code, markdown text, or rich media outputs like plots or images. This combination of code, documentation, and visualizations makes Jupyter Notebooks a popular tool for data scientists, researchers, educators, and professionals across various domains.