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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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Toc

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

Trees

A tree is a non-linear data structure. Trees are used for search and other use cases. A binary tree has nodes that have a maximum of two children. A binary search tree consists of nodes where the property values of the left node are less than the property values of the right node. The root node is at level zero of a tree. Each child node could be a leaf.

Trees and binary trees were introduced in Chapter 1, Data Structures and Algorithms, while we were discussing logarithmic complexity. Let's take a closer look at them in the next section.

Binary search tree

A binary search tree is a data structure that allows for the quick lookup, addition, and removal of elements. It stores the keys in a sorted order to enable...

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