Mathematics, Linear Algebra, Machine Learning, Data Science.
When you add or stretch them, you always end up with another vector. But here’s the cool part: Things like R^n and even mathematical polynomials can behave like vectors too. Here’s how you can create a vector or a matrix using numpy in python. import numpy as np A = np.array([ [2, -1, 3], [1, 2,