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A Common-Sense Guide to Data Structures and Algorithms, Second Edition (Paperback)
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MVR 868
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Mastering algorithms and data structures enables you to write code that runs faster and more efficiently.
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What Stands Out
Product Details
- Practical approach to data structures and algorithms
- Real-world scenarios and techniques for daily production code
- Examples in JavaScript, Python, and Ruby
- New chapters on recursion, dynamic programming, and Big O notation
- Exploration of advanced data structures like binary trees and graphs
- Includes exercises with detailed solutions for practice
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Publication date | September, 2020 |
| Pages | 508 |
| Reading level | Professional & Vocational |
| Subgenre | Computers |
| Edition | 2nd Edition |
| Publisher | Pragmatic Bookshelf |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Editor | Fu-Chan Wei |
| Binding type | Perfect Binding |
| Assembled product dimensions (l x w x h) | 7.50 x 1.02 x 9.25 in (19.1 x 2.6 x 23.5 cm) |
| Assembled product weight | 1.9 lb (860 grams) |
| Bisac subject heading | Computers, Mathematics |
Who Should Buy?
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Beginner Programmers
Ideal for those new to programming, offering clear explanations of fundamental concepts in data structures and algorithms.
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Students in Computer Science
Perfect for students needing an approachable resource for understanding complex data structure topics required in courses.
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Self-Learners
Great for self-taught individuals looking for a comprehensive guide to enhance their coding skills and algorithm knowledge.
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Advanced Developers
Not suitable for experienced programmers seeking in-depth theoretical analysis or cutting-edge techniques in data structures.
Product Description
A Common-Sense Guide to Data Structures and Algorithms, Second Edition (Paperback)
About This Item
Introducing the "A Common-Sense Guide to Data Structures and Algorithms, Second Edition: Level Up Your Core Programming Skills" - your ultimate companion in mastering the world of programming! Authored by the brilliant mind of Jay Wengrow, this comprehensive guide is an essential tool for developers, programmers, and computer science enthusiasts looking to elevate their coding skills to new heights. With a focus on data structures and algorithms, this second edition offers a wealth of knowledge that will empower you to write efficient and optimized code. As the backbone of any software application, a strong understanding of data structures and algorithms is crucial for building robust and scalable programs.
Inside this paperback edition, you'll find a curated selection of topics that cover the fundamental concepts of data structures, including arrays, linked lists, stacks, queues, trees, and graphs. Additionally, you'll be introduced to algorithms such as searching, sorting, and graph algorithms, ensuring that you have a well-rounded understanding of key programming techniques. What sets this guide apart is its "common-sense" approach.
Jay Wengrow breaks down complex concepts into simple, easy-to-understand explanations, making it accessible for readers of all skill levels. Whether you're a beginner or an experienced programmer, you'll find value in the clarity and conciseness of this guide. The second edition of "A Common-Sense Guide to Data Structures and Algorithms" also includes updated content and examples that align with modern programming practices.
Stay up-to-date with the latest industry trends and techniques and equip yourself with the knowledge to tackle real-world programming challenges. As an added bonus, the format of this guide is a user-friendly paperback, making it a portable and convenient reference for on-the-go learning. Don't miss out on this opportunity to level up your core programming skills.
Order your copy of "A Common-Sense Guide to Data Structures and Algorithms, Second Edition: Level Up Your Core Programming Skills" today and unlock the secrets of efficient and effective programming!.
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MVR 868
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Features & Benefits
- Take a practical approach to data structures and algorithms
- Includes examples in JavaScript, Python, and Ruby
- Learn how to use Big O notation to measure code efficiency
- Understand the impact of arrays, linked lists, and hash tables on your code
- Explore advanced data structures like binary trees and graphs
- Practice new skills with exercises and solutions
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