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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
2. Data Structures and Algorithms FREE CHAPTER 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

Classic Algorithms

Classic algorithms are used in the areas of data search and cryptography. Sorting, searching, recursing, and hashing algorithms are good examples of classic algorithms. Sorting algorithms are used to order elements into either an ascending or descending key arrangement. These algorithms are frequently used to canonicalize data and to create readable content. Search algorithms are used to find an element in a set. A recursive algorithm is one that calls itself with input items. A hashing algorithm is a cryptographic hash technique. It is a scientific calculation that maps data with a subjective size to a hash with a settled size. It's intended to be a single direction function, that you cannot alter.

In this chapter, we will cover the different classic algorithms and explain them with suitable examples.

This chapter covers the following algorithms:

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