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Grokking Algorithms
Grokking Algorithms
A friendly, fully-illustrated introduction to the most important computer programming algorithms.
Grokking Algorithms
物品 #: 90473204

Grokking Algorithms

物品 #: 90473204

HKD 574

HKD 639

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A friendly, fully-illustrated introduction to the most important computer programming algorithms.
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What Stands Out

Accessible Learning
Grokking Algorithms simplifies complex algorithmic concepts, making them easily understandable for beginners and non-programmers, ensuring everyone can grasp essential programming principles.
Visual Explanations
The book employs engaging illustrations and diagrams, allowing readers to visualize algorithms and their processes, enhancing retention and comprehension of the material.
Practical Examples
With real-world examples and coding exercises, Grokking Algorithms equips readers with hands-on experience, bridging the gap between theory and practical application in programming.

產品詳情

Shop Grokking Algorithms online at a best price in 香港. 1633438538
  • A friendly, fully-illustrated introduction to the most important computer programming algorithms.The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. This book will prepare you for those pesky algorithms questions in every programming job interview and help you apply them in your day-to-day work. And if you want to understand them without slogging through dense multipage proofs, this is the book for you.In Grokking Algorithms, Second Edition you will discover:Search, sort, and graph algorithmsData structures such as arrays, lists, hash tables, trees, and graphsNP complete and greedy algorithmsPerformance trade-offs between algorithmsExercises and code samples in every chapterOver 400 illustrations with detailed walkthroughsThe first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn't have to be complicated or boring! This new edition now includes fresh coverage of trees, NP complete problems, and code updates to Python 3. With easy-to-read, friendly explanations, clever examples, and exercises to sharpen your skills as you learn, you’ll actually enjoy learning these important algorithms.
Publisher Manning Publications
Publication date 14 Mar. 2024
Edition 2nd
Language English
Print length 320 pages
ISBN-10 1633438538
ISBN-13 978-1633438538
Item weight 544 g
Dimensions 18.73 x 1.78 x 23.5 cm

Who Should Buy?

Suitable For
  • Beginner Programmers

    New programmers seeking to understand algorithms will benefit from the clear explanations and practical examples provided.

  • Computer Science Students

    Students studying computer science can use this book as a supplementary resource to grasp essential algorithm concepts.

  • Visual Learners

    Readers who prefer visual learning will appreciate the illustrations and diagrams that simplify complex algorithms.

Not Suitable For
  • Advanced Developers

    Experienced programmers looking for in-depth algorithm theory may find the content too basic and lacking complexity.

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Algorithms Editorial Review

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Grokking Algorithms is an essential guide published by Manning Publications, designed as an accessible entry point for beginners tackling the complex world of algorithms. With a print length of 320 pages, this 2nd edition, published on 14 Mar. 2024, skillfully unravels challenging concepts while incorporating illustrative samples throughout. Readers have expressed how this book simplifies the subject matter, making it an attractive resource for both novices and seasoned developers who appreciate a clear approach. Many have emphasized its effectiveness in clarifying topics they previously struggled with, praising its engaging format that can ignite a passion for algorithms.

Customer Reviews & Ratings

4.6
280 客戶評分
  • 5 星
    81%
  • 4 星
    13%
  • 3 星
    2%
  • 2 星
    1%
  • 1 星
    3%

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優點

  • Clear explanations of complex concepts
  • Suitable for both beginners and experienced developers
  • Incorporates relevant examples throughout
  • Makes algorithms enjoyable to learn
  • Well-structured for various learning styles

缺點

  • May not cover every algorithm in existence

Product Price History

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