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Data Structures and Algorithms with JavaScript (Bringing classic computing approaches to the Web)
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Product Details
Author:
Michael McMillan
Format:
Paperback
Pages:
250
Publisher:
O'Reilly Media (April 22, 2014)
Language:
English
ISBN-13:
9781449364939
ISBN-10:
1449364934
Dimensions:
7" x 9.19"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251023163248-20251023.xml
Folder:
TWO RIVERS
List Price:
$39.99
Case Pack:
16
As low as:
$34.39
Publisher Identifier:
P-PER
Discount Code:
C
Country of Origin:
United States
Pub Discount:
60
Weight:
14.24oz
Imprint:
O'Reilly Media
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
