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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 Jul 2026
Last Updated in Sep 2025
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

Big O notation and tech interviews

During technical interviews for software developer positions, it is common for companies to do a coding test using some services online such as LeetCode, Hackerrank, and other similar services.

Choosing the correct data structure or algorithm to solve a problem can tell the company some information about how you solve problems that might pop up for you to resolve.

Interviewers might ask you to analyze code and predict how its runtime or memory usage might change under different input sizes. Once you write code to resolve a problem, interviewers might also ask you to pinpoint potential performance problems in your code and if you can identify areas of optimization. Also, different algorithms and data structures have different time complexities, and knowing Big O allows you to make informed decisions about which solution is best suited for a particular problem, considering all the tradeoffs.

During interviews, you can also showcase your velocity in resolving...

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83
Tech Concepts
36
Programming languages
73
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