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  • Book Overview & Buying Learning JavaScript Data Structures and Algorithms
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Learning JavaScript Data Structures and Algorithms

Learning JavaScript Data Structures and Algorithms - Second Edition

By : Loiane Avancini
4 (10)
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Learning JavaScript Data Structures and Algorithms

Learning JavaScript Data Structures and Algorithms

4 (10)
By: Loiane Avancini
Buy this Book

Overview of this book

This book begins by covering basics of the JavaScript language and introducing ECMAScript 7, before gradually moving on to the current implementations of ECMAScript 6. You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps can be used to search files in a HD or represent a database. This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you’ll encounter, we’ll also give you a better understanding of why and how graphs are largely used in GPS navigation systems in social networks. Toward the end of the book, you’ll discover how all the theories presented by this book can be applied in real-world solutions while working on your own computer networks and Facebook searches.
Table of Contents (13 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. JavaScript—A Quick Overview
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1. JavaScript—A Quick Overview
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JavaScript data structure and algorithms
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Setting up the environment
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JavaScript basics
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Control structures
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Functions
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Object-oriented programming in Javascript
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Debugging and tools
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Introducing ECMAScript
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ECMAScript 6 functionalities
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ECMAScript 7 functionalities
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Summary
2
2. Arrays
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2. Arrays
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Why should we use arrays?
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Creating and initializing arrays
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Adding elements
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Removing elements
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Adding and removing elements from a specific position
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Two-dimensional and multidimensional arrays
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References for JavaScript array methods
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The TypedArray class
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Summary
3
3. Stacks
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3. Stacks
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The stack data structure
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EcmaScript 6 and the Stack class
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Solving problems using stacks
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Summary
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4. Queues
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4. Queues
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The queue data structure
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Creating a queue
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The Queue class using ECMAScript 6 syntax
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The priority queue
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The circular queue - Hot Potato
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JavaScript task queues
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Summary
5
5. Linked Lists
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5. Linked Lists
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The linked list data structure
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Creating a linked list
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Doubly linked lists
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Circular linked lists
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Summary
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6. Sets
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6. Sets
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Structuring a dataset
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Creating a set
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Set operations
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ES6 – the Set class
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Summary
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7. Dictionaries and Hashes
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7. Dictionaries and Hashes
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Dictionaries
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The hash table
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The ES6 Map class
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The ES6 WeakMap and WeakSet classes
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Summary
8
8. Trees
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8. Trees
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The tree data structure
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Tree terminology
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The binary and binary search trees
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Tree traversal
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Searching for values in a tree
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Self-balancing trees
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Summary
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9. Graphs
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9. Graphs
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Graph terminology
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Representing a graph
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Creating the Graph class
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Graph traversals
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Shortest path algorithms
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Minimum spanning tree (MST)
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Summary
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10. Sorting and Searching Algorithms
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10. Sorting and Searching Algorithms
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The sorting algorithms
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Searching algorithms
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Summary
11
11. Patterns of Algorithm
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11. Patterns of Algorithm
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Recursion
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Dynamic programming
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Greedy algorithms
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Introduction to functional programming
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Summary
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12. Algorithm Complexity
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12. Algorithm Complexity
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Big-O notation
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Having fun with algorithms
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Summary

Introduction to functional programming

So far in this book, we have used a paradigm called imperative programming. In imperative programming, we code each step of the program, describing in detail what needs to be done and in which order it needs to be done.

In this topic, we will introduce a new paradigm called functional programming. Functional programming was a paradigm used especially by academics, and thanks to modern languages such as Python and Ruby, it started becoming popular among industry developers as well. And thankfully, we can use JavaScript to program functionally, leveraging its ES6 capabilities as well.

Functional versus imperative programming

Developing in the functional paradigm is not difficult; it is just a matter of getting used to how the paradigm works. Let's code an example to note the differences.

Consider that we need to print all the elements of an array. We can use imperative programming and declare the following function:

var printArray = function(array){ 
...
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Tech Concepts
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Programming languages
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Learning JavaScript Data Structures and Algorithms
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