Data Structures and Algorithms with JavaScript

Autor: Michael McMillan


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 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
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