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244053
Algorithms in a Nutshell (In a Nutshell (O'Reilly))
87% of respondents would recommend this to a friend
Item #:
244053
UZS 364596
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With Algorithms in a Nutshell, you'll learn how to improve the performance of key algorithms essential for the success of your software applications.
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What Stands Out
Concise Coverage
Offers a compact overview of essential algorithms, making complex concepts digestible for readers. Ideal for beginners and professionals seeking quick references without overwhelming details.
Practical Examples
Incorporates real-world scenarios to illustrate algorithm applications, helping users to contextualize theory with practice. Enhances understanding and retention of algorithmic principles.
Wide Audience Appeal
Designed for both novice programmers and experienced developers, bridging the gap in skill levels. Facilitates accessible learning for diverse readers interested in improving their algorithmic knowledge.
Product Details
| Publisher | O'Reilly Media |
| Publication date | November 18, 2008 |
| Edition | 1st |
| Language | English |
| Print length | 362 pages |
| ISBN-10 | 059651624X |
| ISBN-13 | 978-0596516246 |
| Item Weight | 1.05 pounds (480 grams) |
| Dimensions | 6 x 0.9 x 9 inches (15.2 x 2.3 x 22.9 cm) |
Who Should Buy?
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Beginner Programmers
Ideal for individuals starting their journey in programming and seeking to understand the fundamentals of algorithms.
-
Computer Science Students
Provides clear explanations and practical examples, perfect for students learning algorithms in their coursework.
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Software Developers
Helpful for developers looking to improve algorithmic skills for coding challenges and interview preparation.
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Advanced Professionals
May lack the depth required for experienced users seeking in-depth theoretical insights beyond basic algorithm concepts.
Product Description
Algorithms in a Nutshell (In a Nutshell (O'Reilly))
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Software Development Editorial Review
**** "Algorithms in a Nutshell" offers an appealing alternative for software developers who are less concerned with the mathematical intricacies of algorithms and more focused on practical solutions. This book serves as a highly accessible reference, allowing users to quickly find the algorithms they need without wading through extensive mathematical proofs or heavy theoretical discussions. Many reviewers appreciate its user-friendly approach, emphasizing that one can swiftly locate solutions, understand the pseudocode provided, and apply the knowledge effectively in real-world situations. The book excels in presenting algorithms with an array of conceptual diagrams and straightforward pseudocode. Customers have Consistently highlighted its usefulness in quickly grasping sorting, searching, pathfinding, and graph algorithms. Critics, however, have pointed out certain issues within the code examples, mentioning bugs and a lack of input validation that could hinder a beginner's understanding. Despite these minor drawbacks, the Consensus is clear: this book stands out for its clarity and utility in practical applications, making it an excellent resource for both experienced developers and those prepping for software engineering interviews. The organization of topics and the engaging writing style contribute to its effectiveness as a learning tool. While it may not cover every algorithm in depth, the book fulfills its promise of delivering practical insights without the overload of mathematical jargon, thereby earning a strong recommendation among its readers. **Pros and Cons:** **
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Pros
- Highly practical and accessible for software developers.
- Good balance between theory and application, avoiding deep mathematical proofs.
- Useful diagrams and pseudocode for easy comprehension.
- Covers essential algorithms (sorting, searching, pathfinding, etc.).
- Great for quick reference and practical application in development tasks.
Cons
- Some code examples contain bugs and lack input validation.
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Features & Benefits
- Learn to solve coding problems effectively with efficient algorithms.
- Easily find and implement the right algorithm for any project.
- Get code solutions in multiple programming languages including C, C++, Java, and Ruby.
- Understand algorithm performance and the conditions for optimal results.
- Explore advanced data structures to enhance algorithm efficiency.
- Focus on practical applications rather than theoretical concepts.
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