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Numerical Python

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

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  • 690 páginas
  • 25 horas de lectura

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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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Publicado en
2024
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Subtítulo
Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib
Idioma
Inglés
Editorial
Apress
Publicado en
2024
Formato
Tapa blanda
Páginas
690
ISBN13
9798868804120
Serie
Calificación
4 de 5
Descripción
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.