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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 content levelIntermediate 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_2

2. Vectors, Matrices, and Multidimensional Arrays

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

Vectors, matrices, and arrays of higher dimensions are essential tools in numerical computing. They enable us to represent and manipulate data efficiently, particularly when computations need to be repeated for a set of input values. By formulating computations in terms of array operations, we can perform vectorized1 computing, eliminating the need for many explicit loops over array elements by applying batch operations to the array data. Vectorized computing results in concise and more maintainable ...

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Publisher Resources

ISBN: 9798868804137Purchase LinkPublisher Website