Data Structures and Algorithms with JavaScript: Bringing Classic Computing Approaches to the Web (Paperback)
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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.
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Produkto Aprašymas
- 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 you're 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
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | April, 2014 |
| Pages | 250 |
| Subgenre | Computers |
| Number in series | 1 |
| Edition | 1st Edition |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | Higher |
| Binding type | Perfect Binding |
| Assembled product height | 9.14 in |
| Assembled product weight | 0.89 lb (400 grams) |
| Bisac subject heading | Programming - Open Source, Data Modeling & Design, Programming Languages - JavaScript |
Who Should Buy?
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Beginner Programmers
Great for beginners learning JavaScript, introducing fundamental concepts in data structures and algorithms effectively.
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Web Developers
Ideal for web developers wanting to deepen their understanding of algorithms to enhance website performance and user experience.
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Computer Science Students
Useful resource for students needing practical applications of data structures and algorithms in real-world JavaScript programming.
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Advanced Developers
Not suitable for experienced developers seeking advanced topics, as it's more focused on foundational concepts.
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MR Michael McMillan All Books Editorial Review
Data Structures and Algorithms with JavaScript: Bringing Classic Computing Approaches to the Web (Paperback) is an insightful read that merges classic computing principles with modern web technologies. This non-fiction book, published by O'Reilly Media in April 2014, spans 250 pages and provides a solid foundation in programming, particularly in JavaScript. It is designed for higher educational levels, making it ideal for students and professionals looking to enhance their knowledge in computing. Readers appreciate the detailed explanations of complex concepts presented in an approachable way, which fosters a deeper understanding of algorithms and data structures.
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Argumentai
- Classic computing principles explained clearly
- Ideal for higher education in programming
- Comprehensive guide on data structures
- Great resource for JavaScript developers
- Perfect binding for durability
Minusai
- Some readers may find it a bit technical
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Savybės ir privalumai
- Learn to implement classic data structures and algorithms in JavaScript.
- Understand the tradeoffs in using data structures and algorithms in JavaScript.
- A practical guide for JavaScript developers moving to server-side programming.
- Covers arrays, stacks, queues, linked lists, dictionaries, hashing, sets, binary trees, graphs, and various algorithms including advanced ones like dynamic programming and greedy algorithms.
- Provides an overview of the JavaScript features used throughout the book.
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