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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

Dynamic Data Structures

A dynamic data structure is a set of elements in memory that has the adaptability to expand or shrink. This ability empowers a software engineer to control precisely how much memory is used. Dynamic data structures are used for handling generic data in a key-value store. They can be used in distributed caching and storage management. Dynamic data structures are valuable in many circumstances in which dynamic addition or deletion of elements occur. They are comparable in capacity to a smaller relational database or an in-memory database. These data structures are used in marketing and customer relationship management applications. Dictionaries, TreeSets, and sequences are examples of dynamic data structures.

In this chapter, we will explain what dictionaries, TreeSets, and sequences are and show you how they are implemented with the help of code examples...

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