6. Matrices and Markov Chains with Python

Overview

In this chapter, we intend to foray into matrices and their applications using Python. We will look at different matrix manipulation techniques that will help us use them efficiently to build useful tools in real-world applications.

By the end of this chapter, you will understand matrices and be able to perform operations on them. You will implement one of the applications of matrices, known as Markov chains, using transition matrices and then use Markov chains and the Markov property to solve real-world problems.

Introduction

A matrix is a rectangular array of numbers or expressions arranged in rows and columns and considered as a single entity. As we are considering a matrix as a single ...

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