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Learn Data Structures and Algorithms with Golang

You're reading from   Learn Data Structures and Algorithms with Golang Level up your Go programming skills to develop faster and more efficient code

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789618501
Length 336 pages
Edition 1st Edition
Languages
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Author (1):
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Bhagvan Kommadi Bhagvan Kommadi
Author Profile Icon Bhagvan Kommadi
Bhagvan Kommadi
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Introduction to Data Structures and Algorithms and the Go Language FREE CHAPTER
2. Data Structures and Algorithms 3. Getting Started with Go for Data Structures and Algorithms 4. Section 2: Basic Data Structures and Algorithms using Go
5. Linear Data Structures 6. Non-Linear Data Structures 7. Homogeneous Data Structures 8. Heterogeneous Data Structures 9. Dynamic Data Structures 10. Classic Algorithms 11. Section 3: Advanced Data Structures and Algorithms using Go
12. Network and Sparse Matrix Representation 13. Memory Management 14. Next Steps 15. Other Books You May Enjoy

Data Structures and Algorithms

A data structure is the organization of data to reduce the storage space used and to reduce the difficulty while performing different tasks. Data structures are used to handle and work with large amounts of data in various fields, such as database management and internet indexing services.

In this chapter, we will focus on the definition of abstract datatypes, classifying data structures into linear, nonlinear, homogeneous, heterogeneous, and dynamic types. Abstract datatypes, such as Container, List, Set, Map, Graph, Stack, and Queue, are presented in this chapter. We will also cover the performance analysis of data structures, choosing the right data structures, and structural design patterns.

The reader can start writing basic algorithms using the right data structures in Go. Given a problem, choosing the data structure and different algorithms...

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