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Data Structures and Algorithms (Addison-Wesley Series in Computer Science and Information Pr)
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TND 299
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The authors' treatment of data structures in Data Structures and Algorithms is unified by an informal notion of abstract data types, allowing readers to compare different implementations of the same concept.
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What Stands Out
Product Details
- Unified treatment of data structures through abstract data types
- Emphasis on algorithm design techniques and basic algorithm analysis
- Most programs are written in Pascal
| Publisher | Pearson |
| Publication date | January 1, 1983 |
| Edition | First Edition |
| Language | English |
| Print length | 448 pages |
| ISBN-10 | 0201000237 |
| ISBN-13 | 978-0201000238 |
| Item Weight | 1.6 pounds (730 grams) |
| Dimensions | 9.22 x 6.29 x 0.93 inches (23.4 x 16 x 2.4 cm) |
Who Should Buy?
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Students Learning
Ideal for university students studying computer science who need a thorough understanding of data structures and algorithms.
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New Programmers
Great for beginners in programming who seek foundational knowledge in organizing data and solving problems effectively.
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Job Aspirants
Beneficial for individuals preparing for technical interviews, emphasizing problem-solving skills with data structures and algorithms.
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Advanced Users
Not suitable for experienced programmers who already possess a solid grasp of data structures and algorithms.
Product Description
Data Structures and Algorithms (Addison-Wesley Series in Computer Science and Information Pr)
Customer Questions & Answers
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Question:
What topics are covered in 'Data Structures and Algorithms First Edition'?
Answer: This edition extensively covers fundamental concepts of data structures including arrays, linked lists, stacks, queues, trees, graphs, and hash tables. It also delves into algorithms related to sorting and searching, providing a comprehensive understanding of algorithmic complexity and efficiency. Such knowledge is essential for developing effective software applications, as it helps in selecting the right data structures and algorithms for problem-solving scenarios. -
Question:
Is 'Data Structures and Algorithms First Edition' suitable for beginners?
Answer: Yes, this book is tailored for beginners as well as intermediate learners. It is written in an approachable language with clear explanations and practical examples that help novices grasp complex concepts easily. Users can start with basic principles and progressively delve into more sophisticated topics, making it ideal for students and self-learners aiming to build a strong foundation in computer science. -
Question:
What is the importance of data structures in programming?
Answer: Data structures are crucial as they provide a way to organize, manage, and store data efficiently for easy access and modification. By utilizing appropriate data structures, programmers can significantly improve the performance of their applications. Understanding these structures allows developers to optimize their code, resulting in applications that run faster and are more scalable, which is particularly essential in fields such as web development and data analysis. -
Question:
How can this book assist with interview preparation?
Answer: 'Data Structures and Algorithms First Edition' is an excellent resource for interview preparation, especially for technical roles in computer science. It includes practice problems and algorithmic challenges similar to those encountered in coding interviews. By practicing these types of questions, candidates can familiarize themselves with common patterns and improve their problem-solving skills, which are critical for success in competitive job interviews. -
Question:
Are there coding exercises included in the book?
Answer: The book includes numerous coding exercises and practice problems that encourage hands-on learning. These exercises allow readers to apply theoretical knowledge through practical application, solidifying their understanding. Engaging with these challenges can enhance problem-solving skills and help readers stand out in both academic settings and real-world programming tasks. -
Question:
Can this book be used for academic study?
Answer: Definitely! 'Data Structures and Algorithms First Edition' serves as a solid academic resource for college and university courses in computer science. Its structured approach, along with clear explanations and examples, makes it suitable as a textbook. Educators often recommend it for courses focused on data structures and algorithms, enhancing the learning experience for students. -
Question:
What programming languages does the book cover examples in?
Answer: The book features examples primarily in languages like Python and Java, which are widely used in teaching data structures and algorithms. These languages provide clarity and are well-suited for illustrating concepts. This focus helps readers with a diverse programming background to easily relate the material to their own coding practices. -
Question:
Is 'Data Structures and Algorithms First Edition' useful for experienced developers?
Answer: Absolutely! Experienced developers can benefit from this book as it offers a refresher on essential concepts and advanced topics. It presents innovative algorithms and techniques, allowing seasoned professionals to revisit foundational knowledge while discovering new approaches to complex challenges. This makes it a valuable addition to any developer's library. -
Question:
How does this book help in understanding algorithm complexity?
Answer: The book dedicates significant attention to the analysis of algorithm complexity, explaining Big O notation and its practical implications. By understanding this concept, readers can evaluate the efficiency and scalability of various algorithms before implementing them. This knowledge is vital when optimizing applications, especially in scenarios with large datasets. -
Question:
Where can I buy 'Data Structures and Algorithms First Edition' in Tunisia?
Answer: You can purchase 'Data Structures and Algorithms First Edition' from Ubuy in Tunisia. Ubuy offers a reliable platform to order books and other products, ensuring convenience and an extensive selection, making it easy for you to find and purchase this essential resource.
Data Structures Editorial Review
The first edition of "Data Structures and Algorithms" receives mixed feedback from customers. While some praise the content of the book, others express dissatisfaction with the quality of the printing. In terms of content, the book covers a lot and is Considered a valuable resource for self-motivated study, especially when used in conjunction with other references. The illustrations in the book are also noted to be helpful in understanding overall data structures. However, there are several drawbacks mentioned by reviewers. The book does not provide full implementations of most data structures, which some readers find disappointing. The text is described as dense, with the author using many words to convey little information. Additionally, some readers feel that the author does not spend enough time on certain data types and that illustrations of methods would be beneficial. It is also noted that the explanations of algorithms may be difficult to understand without a strong math background. In terms of the physical quality of the book, there are complaints about the printing. The book binding is reported to be almost ripping after only two weeks of reading, the paper used is described as low quality, and the ink is criticized for being poor. Overall, while the content of "Data Structures and Algorithms" is praised, the physical quality of the book is a significant downside. Readers recommend Considering digital versions of the book or seeking alternative publishers.
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Pros
- Covers a lot
- Good for self-motivated study, if using with other references
- Illustrations are good for overall data structures
- Well-written and nice explanations
- Detailed and good at explaining concepts such as time complexity and algorithms
Cons
- Doesn't provide full implementations of most data structures
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Features & Benefits
- Unified treatment of data structures
- Informal notion of abstract data types
- Allows comparison of different implementations
- Stresses algorithm design techniques
- Covers basic algorithm analysis
- Programs written in Pascal
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