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Grokking the Coding Interview Patterns in Python

Introduction to Matrices

Explore the fundamentals of matrices as 2D arrays, including essential operations like addition, multiplication, transpose, and inverse. Understand traversal methods such as row-wise, column-wise, diagonal, and spiral to efficiently navigate matrices. This lesson enables you to identify matrix-related problems and apply transformations in coding, image processing, computer graphics, and machine learning contexts.

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About the pattern

A matrix is a group of numbers arranged in rows and columns in a rectangular pattern. In computer science, matrixes are represented by 2D arrays with dimensions m×nm \times n, where mm is the number of rows, and nn is the number of columns. Each element in the matrix can be accessed using the array indexes. The first index represents the row, and the second index represents the column. For example, matrix[i][j]matrix[i][j] is an element from the ithi^{th} row and the jthj^{th} column of the matrix.

Matrix transformations are operations performed on matrices that result in a new matrix. There are several types of matrix transformations commonly used in mathematics ...