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Learning JavaScript Data Structures and Algorithms

You're reading from   Learning JavaScript Data Structures and Algorithms Enhance your problem-solving skills in JavaScript and TypeScript

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Product type Paperback
Published in Sep 2026
Publisher Packt
ISBN-13 9781836205395
Length 615 pages
Edition 4th Edition
Languages
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Author (1):
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Loiane Groner Loiane Groner
Author Profile Icon Loiane Groner
Loiane Groner
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Table of Contents (9) Chapters Close

Learning JavaScript Data Structures and Algorithms, Fourth Edition: Enhance your problem-solving skills in JavaScript and TypeScript
1 Introducing Data Structures and Algorithms in JavaScript FREE CHAPTER 2 Big O notation 3 Arrays 4 Stacks 5 Queues and Deques 6 Linked Lists 7 Sets 8 Dictionaries and Hashes

The linked list data structure

Arrays, a ubiquitous data structure found in nearly every programming language, offer a convenient way to store collections of elements. Their familiar bracket notation ([]) provides direct access to individual items. However, arrays come with a key limitation: their fixed size in most languages. This constraint makes inserting or removing elements from the beginning or middle a costly operation due to the need to shift remaining elements. While JavaScript provides methods to handle this, the underlying process still involves these shifts, impacting performance.

Linked lists, like arrays, maintain a sequential collection of elements. However, unlike arrays where elements occupy contiguous memory locations, linked lists store elements as nodes scattered throughout memory. Each node encapsulates the element's data (the information or value we want to store) along with a reference (also called a pointer or link) that directs you to the next node in the...

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