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Implementing Vector Multiplication with Scalars in Python

Neural pAi
4 min readMar 27, 2023

Introduction

Vectors are fundamental mathematical objects used in various fields such as physics, engineering, computer graphics, and machine learning. They represent quantities with both magnitude and direction and can be used to model a wide range of phenomena, including forces, velocities, and displacements.

In programming, we often need to perform operations on vectors, such as addition, subtraction, and multiplication. Python, being a versatile language, allows us to create custom classes to represent and manipulate vectors according to our needs.

In this article, we will explore how to create a custom Vector class in Python that supports multiplication with scalar values. Scalars are single-valued quantities that can be used to scale the magnitude of a vector without affecting its direction. Multiplying a vector by a scalar is a common operation in various applications, such as resizing geometric shapes, adjusting forces in physics simulations, or scaling gradients in machine learning algorithms.

Our main focus will be on implementing the __mul__ and __rmul__ methods to handle scalar multiplication, ensuring that our Vector class can handle multiplication operations seamlessly, regardless of whether the scalar value is on the left or right side of the…

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