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"item_title" : "Data Structures and Algorithms with JavaScript",
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"item_description" : "As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms--including linked lists, stacks, queues, and graphs--within the constraints of the JavaScript environment.Determine which data structures and algorithms are most appropriate for the problems you're trying to solve, and understand the tradeoffs when using them in a JavaScript program. An overview of the JavaScript features used throughout the book is also included.This book covers:Arrays and lists: the most common data structuresStacks and queues: more complex list-like data structuresLinked lists: how they overcome the shortcomings of arraysDictionaries: storing data as key-value pairsHashing: good for quick insertion and retrievalSets: useful for storing unique elements that appear only onceBinary Trees: storing data in a hierarchical mannerGraphs and graph algorithms: ideal for modeling networksAlgorithms: including those that help you sort or search dataAdvanced algorithms: dynamic programming and greedy algorithms",
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Data Structures and Algorithms with JavaScript : Bringing Classic Computing Approaches to the Web
Overview
As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms--including linked lists, stacks, queues, and graphs--within the constraints of the JavaScript environment.
Determine which data structures and algorithms are most appropriate for the problems you're trying to solve, and understand the tradeoffs when using them in a JavaScript program. An overview of the JavaScript features used throughout the book is also included.
This book covers:
- Arrays and lists: the most common data structures
- Stacks and queues: more complex list-like data structures
- Linked lists: how they overcome the shortcomings of arrays
- Dictionaries: storing data as key-value pairs
- Hashing: good for quick insertion and retrieval
- Sets: useful for storing unique elements that appear only once
- Binary Trees: storing data in a hierarchical manner
- Graphs and graph algorithms: ideal for modeling networks
- Algorithms: including those that help you sort or search data
- Advanced algorithms: dynamic programming and greedy algorithms
This item is Non-Returnable
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Details
- ISBN-13: 9781449364939
- ISBN-10: 1449364934
- Publisher: O'Reilly Media
- Publish Date: April 2014
- Dimensions: 9.14 x 7.07 x 0.52 inches
- Shipping Weight: 0.89 pounds
- Page Count: 250
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