Creation of Array and Filler Arrays
Explore how to create and manipulate NumPy arrays including one-dimensional, multi-dimensional, and complex arrays. Learn methods to initialize arrays with specific filler values such as zeros, ones, and identity matrices. Understand array shapes, types, and how to generate arrays with random or evenly spaced values for scientific and engineering applications.
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NumPy stands for Numerical Python. It is a popular library used for solving problems in science and engineering. It provides a high-performance multidimensional array object and methods for fast operations on arrays. These operations include mathematical, logical, shape manipulation, sorting, selecting, IO, statistical operations, etc.
Creation of the array
Though the NumPy array looks like Python lists, it is optimized to run faster than lists. Unlike lists, all elements of a NumPy array ...