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Learn Data Structures and Algorithms with Golang: Level up your Go programming skills to develop faster and more efficient code
Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional setting
Key FeaturesLearn the basics of data structures and algorithms and implement them efficientlyUse data structures such as arrays, stacks, trees, lists and graphs in real-world scenariosCompare the complexity of different algorithms and data structures for improved code performanceBook DescriptionGolang 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 learnImprove application performance using the most suitable data structure and algorithmExplore the wide range of classic algorithms such as recursion and hashing algorithmsWork 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 solvingExplore techniques for writing pseudocode algorithm and ace whiteboard coding in interviewsDiscover the pitfalls in selecting data structures and algorithms by predicting their speed and efficiencyWho this book is forThis 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.
Table of ContentsData Structures & AlgorithmsGetting Started with Go for Data Structures & AlgorithmsLinear Data StructuresNon Linear Data StructuresHomogeneous Data StructuresHeterogeneous Data StructuresDynamic Data StructuresClassic AlgorithmsNetwork and Sparse Matrix RepresentationMemory ManagementNext Steps (Appendix)
Key FeaturesLearn the basics of data structures and algorithms and implement them efficientlyUse data structures such as arrays, stacks, trees, lists and graphs in real-world scenariosCompare the complexity of different algorithms and data structures for improved code performanceBook DescriptionGolang 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 learnImprove application performance using the most suitable data structure and algorithmExplore the wide range of classic algorithms such as recursion and hashing algorithmsWork 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 solvingExplore techniques for writing pseudocode algorithm and ace whiteboard coding in interviewsDiscover the pitfalls in selecting data structures and algorithms by predicting their speed and efficiencyWho this book is forThis 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.
Table of ContentsData Structures & AlgorithmsGetting Started with Go for Data Structures & AlgorithmsLinear Data StructuresNon Linear Data StructuresHomogeneous Data StructuresHeterogeneous Data StructuresDynamic Data StructuresClassic AlgorithmsNetwork and Sparse Matrix RepresentationMemory ManagementNext Steps (Appendix)
338 pages, Kindle Edition
Published March 30, 2019
13 people are currently reading
66 people want to read
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Displaying 1 - 4 of 4 reviews
September 14, 2022
Not bad for an overview of data structures and algorithms, some important algorithms are overlooked while trivial implementations are overly extended.
October 14, 2020
This was a good read with lots of great code examples.
A bit too light on the theoretical explanations sometimes, but all in all a great read.
A bit too light on the theoretical explanations sometimes, but all in all a great read.
November 17, 2019
This is the best book for learning Data structures and Algorithm in Go.
December 9, 2019
A good read. Would recommend it.
Displaying 1 - 4 of 4 reviews