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A Common-Sense Guide to Data Structures and Algorithms, Second Edition: Level Up Your Core Programming Skills
90% of respondents would recommend this to a friend
MYR 268
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Mastering [data structures and algorithms] enables you to write code that runs faster and more efficiently
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What Stands Out
Maklumat produk
- Published by The Pragmatic Programmers, known for practical books on software development and engineering management.
- Mastering data structures and algorithms allows for efficient code, faster software, and reduced memory consumption.
- The book uses common-sense language and diagrams to make concepts practical and enjoyable for readers of all skill levels.
- Target audience includes computer science students, beginner developers, and self-taught developers looking to enhance their skills.
- The second edition features revised material, six new chapters, and exercises with detailed solutions for a more comprehensive learning experience.
| Publisher | Pragmatic Bookshelf |
| Publication date | September 15, 2020 |
| Edition | 2nd |
| Language | English |
| Print length | 508 pages |
| ISBN-10 | 1680507222 |
| ISBN-13 | 978-1680507225 |
| Item Weight | 2.06 pounds (930 grams) |
| Dimensions | 7.5 x 1.02 x 9.25 inches (19.1 x 2.6 x 23.5 cm) |
Who Should Buy?
-
Beginner Programmers
Ideal for beginners who need a clear understanding of data structures and algorithms to enhance their programming skills.
-
Interview Preparations
Great resource for individuals preparing for technical interviews that require knowledge of data structures and algorithms.
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Self-Learners
Perfect for self-taught individuals who appreciate a structured guide to improve their coding proficiency independently.
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Advanced Developers
Not suitable for experienced developers looking for in-depth or advanced topics beyond core data structures and algorithms.
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MYR 268
Pesan sekarang dan dapatkannya lebih kurang pada Khamis, Oktober 15
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Ciri & Faedah
- Practical approach to data structures and algorithms
- New chapters on recursion and dynamic programming
- Examples in JavaScript, Python, and Ruby
- Use Big O notation to measure efficiency
- Dig into advanced data structures like binary trees and graphs
- Exercises and detailed solutions in every chapter
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