- 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
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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.
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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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