A comprehensive guide to using Python for scientific computing, data analysis, and research. Covers NumPy, SciPy, Pandas, Matplotlib, SciKit-Learn, and more. Ideal for researchers, engineers, and students looking to leverage Python for scientific applications.
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Jupyter Notebook is an open-source web application that allows you to create and share documents containing:
- Live code
- Equations
- Visualizations
- Narrative text
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Supports over 40 programming languages, including Python, R, Julia, and Scala.
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Can be shared via email, Dropbox, GitHub, and the Jupyter Notebook Viewer.
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Allows code to produce rich, interactive output, including:
- HTML, images, videos, LaTeX, and custom MIME types.