September 2024
Intermediate to advanced
501 pages
17h 6m
English
We have gone through numerous examples of arrays and matrices that are essential in many aspects of numerical computing. And, we have represented arrays with the NumPy ndarray data structure, a heterogeneous representation that stores all the array elements it represents. This is often the most efficient way to represent an object, such as a vector, matrix, or higher-dimensional array. However, notable exceptions are matrices where most of the elements are zeros. Such matrices are known as sparse matrices ...