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Item #:
36653257
Data Structures and Algorithms with Object-Oriented Design Patterns in Java (Worldwide Series in Computer Science)
84% of respondents would recommend this to a friend
Item #:
36653257
HNL 1036
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Author Bruno Preiss presents the fundamentals of data structures and algorithms from a modern, object-oriented perspective.
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What Stands Out
Comprehensive Coverage
Thoroughly covers essential data structures and algorithms while integrating object-oriented design patterns, providing a complete understanding for developers looking to enhance coding efficiency and software design.
Real-World Applications
Focuses on practical applications in Java, equipping learners with skills directly applicable to real-world scenarios, ensuring they can implement complex solutions effectively in their projects.
Structured Learning
Organized method of teaching that gradually introduces concepts, catering to both beginners and experienced programmers, making it easy to grasp intricate design patterns and advanced algorithms.
Product Details
- Author Bruno Preiss presents the fundamentals of data structures and algorithms from a modern, object-oriented perspective. The text promotes object-oriented design using Java and illustrates the use of the latest object-oriented design patterns. Virtually all the data structures are discussed in the context of a single class hierarchy. This frame work clearly shows the relationships between data structures and illustrates how polymophism and inheritance can be used effectively.
| Publisher | Wiley |
| Publication date | August 2, 1999 |
| Edition | 1st |
| Language | English |
| Print length | 656 pages |
| ISBN-10 | 0471346136 |
| ISBN-13 | 978-0471346135 |
| Item Weight | 2.75 pounds (1.25 kg) |
| Dimensions | 7.68 x 1.21 x 9.47 inches (19.5 x 3.1 x 24.1 cm) |
Who Should Buy?
-
Aspiring Developers
Ideal for those seeking to master Java through structured problem-solving and design patterns in data structures.
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Computer Science Students
Beneficial for students learning data structures and algorithms, providing practical applications of theoretical concepts.
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Job Seekers
Great for candidates preparing for technical interviews, enhancing critical algorithmic skills often tested by employers.
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Beginners in Programming
May overwhelm novices due to its advanced topics, requiring a solid foundation in Java and programming principles first.
Product Description
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Customer Questions & Answers
-
Question:
What are Data Structures and Algorithms?
Answer: Data Structures are specialized formats for organizing and storing data, while Algorithms are sequences of instructions for solving problems or performing tasks. Together, they form the foundation of computer programming and enable efficient data handling and processing. Understanding various data structures, like arrays and linked lists, and algorithms, such as sorting and searching, is essential for optimizing code performance in applications, making it critical for both novice and experienced developers. -
Question:
Why are Object-Oriented Design Patterns important in Java?
Answer: Object-Oriented Design Patterns are essential as they provide proven solutions to common software design problems. In Java, these patterns facilitate code reusability, flexibility, and maintainability. By using design patterns like Singleton or Factory, developers can create structured codes that are easier to understand and modify, which enhances collaboration in team environments. This approach is particularly useful in large-scale applications where codebase management is crucial. -
Question:
What is the relationship between Data Structures and Algorithms?
Answer: The relationship between Data Structures and Algorithms is fundamentally linked. Data Structures provide the means to organize and store data, while Algorithms utilize these structures to process and manipulate that data effectively. For instance, the efficiency of sorting algorithms largely depends on the underlying data structure, like heaps or trees. Understanding this interplay is vital for developers to write performance-efficient programs. -
Question:
How do I choose the right Data Structure for my application?
Answer: Choosing the right Data Structure depends on the specific requirements of your application, such as the type of data to store, the operations to perform, and performance constraints. Common considerations include time complexity for operations like insertion and retrieval, and memory usage. For example, if rapid access to elements is paramount, using a HashMap might be beneficial, whereas a LinkedList is preferable for dynamic data structures where frequent insertions and deletions occur. -
Question:
Can I learn Data Structures and Algorithms without prior programming knowledge?
Answer: Yes, you can learn Data Structures and Algorithms without prior programming knowledge, but some familiarity with basic programming concepts will help. It’s beneficial to start with a language like Java, as it enforces Object-Oriented Programming principles. There are numerous resources available that teach these concepts from the ground up, allowing you to gradually build your skills through hands-on coding examples and exercises, fundamental for any aspiring developer. -
Question:
What practical applications use Data Structures and Algorithms?
Answer: Data Structures and Algorithms have a myriad of practical applications, from building complex data-driven applications to optimizing performance in software systems. For instance, social media platforms use graph data structures to represent user connections, while search engines utilize hashing algorithms for quick data retrieval. By understanding these concepts, developers can create scalable systems that efficiently manage large amounts of data and improve user experiences in real-time applications. -
Question:
What are some common design patterns used in Java?
Answer: Some common design patterns in Java include Singleton, Factory, Observer, and Decorator. Each pattern serves a specific purpose, such as ensuring a class has only one instance (Singleton) or creating objects without specifying the exact class (Factory). These patterns help developers write cleaner, more manageable code, enhancing collaboration and making it easier to update and scale applications over time. -
Question:
How can I improve my understanding of Algorithms?
Answer: Improving your understanding of Algorithms can be achieved through various methods, such as engaging in coding challenges, taking online courses, and studying algorithm tutorials. Practicing problems on platforms like LeetCode or HackerRank is particularly effective in solidifying your knowledge through real-life scenarios. Over time, as you implement algorithms in your own projects, you’ll develop a deeper understanding of their complexities and applications. -
Question:
What benefits does the book 'Data Structures and Algorithms with Object-Oriented Design Patterns in Java' provide?
Answer: The book offers a comprehensive approach to learning Data Structures and Algorithms within the context of Object-Oriented Design Patterns, making it ideal for those who wish to understand these concepts in a practical manner. It combines theoretical knowledge with practical examples, ensuring readers can relate concepts to real-world applications. Moreover, the inclusion of Java as the programming language allows for exploring Object-Oriented principles in depth, enhancing your coding skills. -
Question:
Where can I buy Data Structures and Algorithms with Object-Oriented Design Patterns in Java in Honduras?
Answer: You can buy 'Data Structures and Algorithms with Object-Oriented Design Patterns in Java' on Ubuy, a reliable online store that offers a variety of books and educational materials. Ubuy provides an easy shopping experience, making it simple to browse, compare options, and order your desired product from the comfort of your home.
Data Structures Editorial Review
**** The book "Data Structures and Algorithms with Object-Oriented Design Patterns in Java" is aimed specifically at those with a more formal and theoretically inclined approach to computer science. While many readers find its perspective useful, particularly in an academic setting—such as undergraduate courses—the book does present a mixed bag of experiences. Readers appreciating a strong theoretical foundation commend the book for its comprehensive explanations of sorting techniques and its inclusion of valuable formulas. Users have remarked on its readability, finding it beneficial for grasping the material despite its academic tone. Additionally, the interconnection between algorithms and discrete mathematics is often highlighted, making it suitable for learners who enjoy a more rigorous exploration of the subject. However, some reviewers criticize the book for lacking practical applications, noting that while the code examples may clarify concepts, students often find them unnecessary for completing assignments. Additionally, the initial chapters suffer from an overemphasis on mathematical formulas, which some students feel could be supplemented with simpler explanations. The introduction of design patterns is seen as a complicating factor by others, adding to the confusion as it requires frequent cross-referencing with earlier sections. While this book has its strengths, its high price tag and certain instructional gaps have led to mixed recommendations. It seems best suited for those who thrive on theoretical material and are willing to navigate the complexities presented. **
Customer Reviews & Ratings
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Pros
- Comprehensive treatment of data structures and algorithms with a formal approach.
- Excellent explanation of a wide range of sorting techniques and algorithms.
- Useful for connecting with discrete mathematics courses.
- Readable text for understanding complex topics.
Cons
- High price may deter potential buyers; Consider used copies.
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Features & Benefits
- Presents fundamentals of data structures and algorithms from a modern, object-oriented perspective
- Promotes object-oriented design using Java
- Illustrates the use of the latest object-oriented design patterns
- Discusses data structures in the context of a single class hierarchy
- Clearly shows relationships between data structures
- Illustrates how polymorphism and inheritance can be used effectively
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