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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
book

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

by Robert Johansson
September 2024
Intermediate to advanced
501 pages
17h 6m
English
Apress
Content preview from Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
R. JohanssonNumerical Pythonhttps://doi.org/10.1007/979-8-8688-0413-7_19

19. Code Optimization

Robert Johansson1  
(1)
Urayasu-shi, Chiba, Japan
 

This book explored various scientific and technical computing topics using Python and its ecosystem of libraries. As touched upon in the very first chapter of this book, the Python environment for scientific computing generally strikes a good balance between a high-level environment suitable for exploratory computing and rapid prototyping that minimizes development efforts and high-performance computing that minimizes application runtimes. High-performance numerical computation is achieved not using the Python language ...

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Publisher Resources

ISBN: 9798868804137Purchase LinkPublisher Website