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Learning JavaScript Data  Structures and Algorithms

You're reading from   Learning JavaScript Data Structures and Algorithms Write complex and powerful JavaScript code using the latest ECMAScript

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788623872
Length 426 pages
Edition 3rd Edition
Languages
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Author (1):
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Loiane Avancini Loiane Avancini
Author Profile Icon Loiane Avancini
Loiane Avancini
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Table of Contents (17) Chapters Close

Preface 1. JavaScript – A Quick Overview 2. ECMAScript and TypeScript Overview FREE CHAPTER 3. Arrays 4. Stacks 5. Queues and Deques 6. Linked Lists 7. Sets 8. Dictionaries and Hashes 9. Recursion 10. Trees 11. Binary Heap and Heap Sort 12. Graphs 13. Sorting and Searching Algorithms 14. Algorithm Designs and Techniques 15. Algorithm Complexity 16. Other Books You May Enjoy

JavaScript data structure and algorithms

In this book, you will learn about the most-used data structures and algorithms. Why should we use JavaScript to learn about data structures and algorithms? We have already answered this question. JavaScript is very popular and is appropriate for learning about data structures because it is a functional language. Also, this can be a very fun way of learning something new, as it is very different from (and easier than) learning about data structures with a standard language such as C, Java, or Python. And who said data structures and algorithms were only made for languages such as C and Java? You might need to implement some of these languages while developing for the frontend as well.

Learning about data structures and algorithms is very important. The first reason is that data structures and algorithms can solve the most common problems efficiently. This will make a difference to the quality of the source code you write in the future (including performance; if you choose the incorrect data structure or algorithm, depending on the scenario, you may have some performance issues). Secondly, algorithms are studied in college together with the introductory concepts of computer science. And finally, if you are planning on getting a job with one of the greatest Information Technology (IT) companies (such as Google, Amazon, Microsoft, eBay, and so on) data structures, and algorithms are the subjects of interview questions.

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