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NumPy : Beginner's Guide - Third Edition by Ivan Idris

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Time for action – adding vectors

Imagine that we want to add two vectors called a and b (see https://www.khanacademy.org/science/physics/one-dimensional-motion/displacement-velocity-time/v/introduction-to-vectors-and-scalars). Vector is used here in the mathematical sense meaning a one-dimensional array. We will learn in Chapter 5, Working with Matrices and ufuncs, about specialized NumPy arrays, which represent matrices. Vector a holds the squares of integers 0 to n, for instance, if n is equal to 3, then a is equal to (0,1, 4). Vector b holds the cubes of integers 0 to n, so if n is equal to 3, then b is equal to (0,1, 8). How will you do that using plain Python? After we come up with a solution, we will compare it to the NumPy equivalent.

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