- Which method of the
`sort.Sort`interface returns the size of the elements to be sorted? - Which function needs to be passed to the
`sort.Slice`method to sort a slice? - What does the
`swap`method do to the elements at the*i*and*j*indices? - What is the default order for sorting elements using
`sort.Sort`? - How do you implement ascending and descending sorting with
`sort.Slice`? - How do you sort an array and keep the original order of the elements?
- Which interface is used to reverse the order of the data?
- Show an example of sorting a slice.
- Which method is called to add elements to an unordered list?
- Write a code example of an unordered list of floats.

#### Learn Data Structures and Algorithms with Golang

##### By :

#### Learn Data Structures and Algorithms with Golang

##### By:

#### 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.

Table of Contents (16 chapters)

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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