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  • Book Overview & Buying Learn Data Structures and Algorithms with Golang
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Learn Data Structures and Algorithms with Golang

Learn Data Structures and Algorithms with Golang

By : Bhagvan Kommadi
2.6 (10)
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Learn Data Structures and Algorithms with Golang

Learn Data Structures and Algorithms with Golang

2.6 (10)
By: Bhagvan Kommadi
Buy this Book

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)
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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Get in touch
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1
Section 1: Introduction to Data Structures and Algorithms and the Go Language
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Section 1: Introduction to Data Structures and Algorithms and the Go Language
2
Data Structures and Algorithms
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Data Structures and Algorithms
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Technical requirements
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Classification of data structures and structural design patterns
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Representation of algorithms
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Complexity and performance analysis
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Brute force algorithms
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Divide and conquer algorithms
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Backtracking algorithms
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Summary
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Questions and exercises
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Further reading
3
Getting Started with Go for Data Structures and Algorithms
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Getting Started with Go for Data Structures and Algorithms
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Technical requirements
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Arrays
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Slices
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Two-dimensional slices
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Maps
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Database operations
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Variadic functions
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CRUD web forms
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Summary
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Questions
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Further reading
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Section 2: Basic Data Structures and Algorithms using Go
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Section 2: Basic Data Structures and Algorithms using Go
5
Linear Data Structures
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Linear Data Structures
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Technical requirements
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Lists
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Sets
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Tuples
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Queues
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Stacks
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Summary
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Questions
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Further reading
6
Non-Linear Data Structures
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Non-Linear Data Structures
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Technical requirements
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Trees
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Tables
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Symbol tables
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Containers
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The hash functions
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Summary
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Questions
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Further reading
7
Homogeneous Data Structures
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Homogeneous Data Structures
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Technical requirements
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Two-dimensional arrays
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Multi-dimensional arrays
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Summary
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Questions
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Further reading
8
Heterogeneous Data Structures
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Heterogeneous Data Structures
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Technical requirements
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Linked lists
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Ordered lists
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Unordered lists
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Summary
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Questions
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Further reading
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Dynamic Data Structures
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Dynamic Data Structures
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Technical requirements
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Dictionaries
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TreeSets
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Sequences
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Summary
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Questions
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Further reading
10
Classic Algorithms
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Classic Algorithms
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Technical requirements
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Sorting
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Searching
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Recursion
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Hashing
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Summary
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Questions
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Further reading
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Section 3: Advanced Data Structures and Algorithms using Go
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Section 3: Advanced Data Structures and Algorithms using Go
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Network and Sparse Matrix Representation
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Network and Sparse Matrix Representation
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Technical requirements
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Network representation using graphs
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Sparse matrix representation using a list of lists
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Summary
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Questions
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Further reading
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Memory Management
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Memory Management
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Technical requirements
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Garbage collection
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Cache management
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Space allocation
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Concepts – Go memory management
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Summary
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Questions
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Further reading
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Next Steps
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Next Steps
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Technical requirements
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Learning outcomes
15
Other Books You May Enjoy
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Other Books You May Enjoy
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Further reading

The following books are recommended if you want to know more about heterogeneous data structures:

  • Design Patterns, by Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides
  • Introduction to Algorithms – Third Edition, by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein
  • Data structures and Algorithms: An Easy Introduction, by Rudolph Russell
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Tech Concepts
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Programming languages
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