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Numerical Python

Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib

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  • 690 pages
  • 25 hours of reading

More about the book

The book focuses on utilizing Python for scientific computing and data analysis, showcasing its standard library and popular packages like NumPy, SymPy, and SciPy. It provides insights into mathematical modeling and problem-solving through numerical, symbolic, and visualization techniques. Applications span across various fields, including science, engineering, and data analytics, making it a comprehensive resource for those looking to enhance their skills in these areas.

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Numerical Python, Robert Johansson

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Released
2024
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