As an experienced Java Script 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 mechanismsincluding linked lists, stacks, queues, and graphswithin the constraints of the Java Script environment.Determine which data structures and algorithms are most appropriate for the problems...
As an experienced Java Script 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 mechanismsincluding linked lists, stacks, queues, and graphswithin the constraints of the Java Script environment.Determine which data structures and algorithms are most appropriate for the problems youre trying to solve, and understand the tradeoffs when using them in a Java Script program. An overview of the Java Script 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
