Jupyter Notebook - Data Science Data Science
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Jupyter Notebook is the industry-standard open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
The original interactive computing environment that revolutionized data science workflows. Create documents combining live code, equations, visualizations, and markdown text. Support for 40+ programming languages via kernels including Python, R, Julia, and Scala. JupyterLab provides modern IDE-like interface with file browser, terminals, and extensions. Rich output display for plots, images, videos, and LaTeX. NBConvert exports to HTML, PDF, slides, and more. Jupyter Hub for multi-user deployments. Real-time collaboration with JupyterLab 4.0. Extensive extension ecosystem. Integration with VS Code, PyCharm, and other IDEs. Used by millions of data scientists, researchers, and educators worldwide. Foundation for Google Colab, Kaggle Notebooks, and many cloud platforms.
Who Is Jupyter Notebook Best For?
Jupyter Notebook is particularly well-suited for:
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Frequently Asked Questions
Is Jupyter Notebook free to use?
Yes, Jupyter Notebook offers a free tier that you can use without payment. Completely free and open source under BSD license
What platforms does Jupyter Notebook support?
Jupyter Notebook is available on Web, Linux, macOS, Windows. You can access it from any web browser, plus dedicated apps for other platforms.
Is Jupyter Notebook open source?
Yes, Jupyter Notebook is open source. You can view the source code and contribute on GitHub at https://github.com/jupyter/notebook.
