Learn Data Structures and Algorithms with Golang: Level up your Go programming skills to develop faster and more efficient code
Authors: Bhagvan Kommadi
ISBN-10: 1789618509
ISBN-13: 9781789618501
Publication Date 出版日期: 2019-03-30
Print Length 页数: 336 pages
Book Description
By finelybook
Explore Golang’s data structures and algorithms to design,implement,and analyze code in the professional setting
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.
What you will learn
Improve application performance using the most suitable data structure and algorithm
Explore the wide range of classic algorithms such as recursion and hashing algorithms
Work with algorithms such as garbage collection for efficient memory management
Analyze the cost and benefit trade-off to identify algorithms and data structures for problem solving
Explore techniques for writing pseudocode algorithm and ace whiteboard coding in interviews
Discover the pitfalls in selecting data structures and algorithms by predicting their speed and efficiency
contents
1 Data Structures and Algorithms
2 Getting Started with Go for Data Structures and Algorithms
3 Linear Data Structures
4 Non-Linear Data Structures
5 Homogeneous Data Structures
6 Heterogeneous Data Structures
7 Dynamic Data Structures
8 Classic Algorithms
9 Network and Sparse Matrix Representation
10 Memory Management
