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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

By : Loiane Avancini
4.3 (24)
Buy this Book
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Learning JavaScript Data Structures and Algorithms

Learning JavaScript Data Structures and Algorithms

4.3 (24)
By: Loiane Avancini
Buy this Book

Overview of this book

If you are a JavaScript developer or someone who has basic knowledge of JavaScript, and want to explore its optimum ability, this fast-paced book is definitely for you. Programming logic is the only thing you need to know to start having fun with algorithms.
Table of Contents (12 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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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
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Debugging and tools
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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 and removing elements
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Two-dimensional and multi-dimensional arrays
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References for JavaScript array methods
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Summary
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3. Stacks
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3. Stacks
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Creating a stack
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Decimal to binary
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Summary
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4. Queues
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4. Queues
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Creating a queue
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The priority queue
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The circular queue – Hot Potato
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Summary
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5. Linked Lists
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5. Linked Lists
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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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Creating a set
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Set operations
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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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Summary
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8. Trees
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8. Trees
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Trees terminology
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Binary tree and binary search tree
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Tree traversal
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Searching for values in a tree
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More about binary 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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Summary
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10. Sorting and Searching Algorithms
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10. Sorting and Searching Algorithms
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Sorting algorithms
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Searching algorithms
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Summary
11
Index
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Index

Debugging and tools

Knowing how to program with JavaScript is important, but so is knowing how to debug your code. Debugging is very useful to help find bugs in your code, but it can also help you execute your code at a lower speed so you can see everything that is happening (the stack of methods called, variable assignment, and so on). It is highly recommended that you spend some time debugging the source code of this book to see every step of the algorithm (it might help you understand it better as well).

Both Firefox and Chrome support debugging. A great tutorial from Google that shows you how to use Google Developer Tools to debug JavaScript can be found at https://developer.chrome.com/devtools/docs/javascript-debugging.

You can use any text editor of your preference. But there are other great tools that can help you be more productive when working with JavaScript as well:

  • Aptana: This is a free and open source IDE that supports JavaScript, CSS3, and HTML5, among other languages (http://www.aptana.com/).
  • WebStorm: This is a very powerful JavaScript IDE with support for the latest web technologies and frameworks. It is a paid IDE, but you can download a 30-day trial version (http://www.jetbrains.com/webstorm/).
  • Sublime Text: This is a lightweight text editor, and you can customize it by installing plugins. You can buy the license to support the development team, but you can also use it for free (the trial version does not expire) at http://www.sublimetext.com/.
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Learning JavaScript Data Structures and Algorithms
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