Learn Data Structures and Algorithms with Golang

Level up your Go programming skills to develop faster and more efficient code. Learn Data Structures and Algorithms with Golang covers topics related to simple and advanced concepts in computer programming. The primary objective is to choose a right algorithm and data structures for a problem. This book provides the concepts to compare algorithms complexity and data structures for code performance and efficiency.

Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional setting

• Learn the basics of data structures and algorithms and implement them efficiently
• Use data structures such as arrays, stacks, trees, lists and graphs in real-world scenarios
• Compare the complexity of different algorithms and data structures for improved code performance

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.

• 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

This book is for developers who want to understand how to select the best data structures and algorithms that will help solve coding problems. Basic Go programming experience will be an added advantage.

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