#### Overview of this book

Golang is one of the fastest growing programming languages in the software industry. Its speed, simplicity, and reliability make it the perfect choice for building robust applications. This brings the need to have a solid foundation in data structures and algorithms with Go so as to build scalable applications. Complete with hands-on tutorials, this book will guide you in using the best data structures and algorithms for problem solving. The book begins with an introduction to Go data structures and algorithms. You'll learn how to store data using linked lists, arrays, stacks, and queues. Moving ahead, you'll discover how to implement sorting and searching algorithms, followed by binary search trees. This book will also help you improve the performance of your applications by stringing data types and implementing hash structures in algorithm design. Finally, you'll be able to apply traditional data structures to solve real-world problems. By the end of the book, you'll have become adept at implementing classic data structures and algorithms in Go, propelling you to become a confident Go programmer.
Preface
Free Chapter
Section 1: Introduction to Data Structures and Algorithms and the Go Language
Data Structures and Algorithms
Getting Started with Go for Data Structures and Algorithms
Section 2: Basic Data Structures and Algorithms using Go
Linear Data Structures
Non-Linear Data Structures
Homogeneous Data Structures
Heterogeneous Data Structures
Dynamic Data Structures
Classic Algorithms
Section 3: Advanced Data Structures and Algorithms using Go
Network and Sparse Matrix Representation
Memory Management
Next Steps
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# Questions and exercises

1. Give an example where you can use a composite pattern.
2. For an array of 10 elements with a random set of integers, identify the maximum and minimum. Calculate the complexity of the algorithm.
3. To manage the state of an object, which structural pattern is relevant?
4. A window is sub-classed to add a scroll bar to make it a scrollable window. Which pattern is applied in this scenario?
5. Find the complexity of a binary tree search algorithm.
6. Identify the submatrices of 2x2 in a 3x3 matrix. What is the complexity of the algorithm that you have used?
7. Explain with a scenario the difference between brute force and backtracking algorithms.

1. A rules engine uses backtracking to identify the rules affected by the change. Show an example where backtracking identifies the affected rules.
2. Draw a flow chart for the algorithm of the calculation of profit-loss given the cost...