Item #:
213165323
Grokking Algorithms
90% of respondents would recommend this to a friend
Item #:
213165323
NGN 160898
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A friendly, fully-illustrated introduction to the most important computer programming algorithms.
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What Stands Out
Visual Learning
Uses engaging illustrations and diagrams to simplify complex algorithms, making it approachable for visual learners and enhancing understanding of intricate concepts.
Practical Examples
Incorporates real-world examples to demonstrate algorithm applications, ensuring readers can relate concepts to everyday problems, facilitating better retention and practical usage.
Accessible Language
Written in clear, concise language, making it suitable for beginners and those without a technical background, fostering a friendly learning environment that encourages exploration.
Product Details
- 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. Daha fazla göster
| Yayıncı | Manning Publications |
| Yayınlanma Tarihi | 14 Mart 2024 |
| Baskı | 2. |
| Dil | İngilizce |
| Baskı Uzunluğu | 320 sayfa |
| ISBN-10 | 1633438538 |
| ISBN-13 | 978-1633438538 |
| Boyutlar | 18.73 x 1.78 x 23.5 cm |
Who Should Buy?
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Beginner Programmers
Ideal for those new to programming concepts, helping to establish a strong foundational understanding of algorithms.
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Students in Courses
Perfect for computer science students who want to supplement their learning with clear explanations and visual aids.
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Self-Learners
Great for individuals pursuing self-study in programming, offering practical examples and easy-to-understand illustrations.
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Advanced Coders
Experienced programmers might find the content too simplistic and lacking in depth for their advanced understanding.
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İngilizce Baskı Aditya Bhargava Format: Kağıt Kapak Editorial Review
Grokking Algorithms is a comprehensive guide published by Manning Publications on March 14, 2024, featuring a second edition that spans 320 pages. The book is crafted in English and presents complex algorithmic concepts in an accessible manner, making it suitable for readers of various backgrounds. It's perfect for anyone looking to deepen their understanding of algorithms with practical examples and illustrations. Many readers appreciate its clear explanations and step-by-step approach, making learning enjoyable and effective. The book's ISBN numbers are 1633438538 and 978-1633438538, ensuring easy identification in libraries and bookstores.
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Pros
- Comprehensive guide for understanding algorithms
- Clear explanations and practical examples
- Suitable for readers of all backgrounds
- Step-by-step approach to learning
- Illustrative content enhances understanding
Cons
- Might be too detailed for advanced readers
Product Price History
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NGN 160898
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Features & Benefits
- Master the most widely used algorithms
- Over 400 fun illustrations and dozens of relevant examples
- Exercises and code samples in every chapter
- Fresh coverage of trees, NP-complete problems, and code updates to Python 3
- No advanced math or programming skills required
- Teaches important algorithms to speed up programs, simplify code, and solve common programming problems
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