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243804106
Data Structures and Algorithms with Python Undergraduate Topics in Computer Science
88% of respondents would recommend this to a friend
Item #:
243804106
ALL 11107
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This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently.
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What Stands Out
Comprehensive Coverage
This book offers in-depth insights into essential data structures and algorithms, ensuring a thorough understanding for undergraduate students, making it an excellent foundation for advanced study and practical applications.
Practical Python Examples
Utilizing Python for illustrations, this book bridges theory and practice, providing clear coding examples that empower students to implement concepts effectively in real-world scenarios, enhancing their problem-solving skills.
Student-Friendly Approach
Designed specifically for undergraduates, the text features intuitive explanations and exercises that promote active learning, ensuring that complex topics are accessible and engaging, fostering confidence in budding programmers.
Product Details
- Explains concepts and techniques for writing programs to handle large amounts of data efficiently
- Presents important algorithms with examples to illustrate real-world programming problems
- Introduces computational complexity to help programmers make informed algorithm choices
- Includes both introductory and advanced data structures and algorithms topics
- Provides learning goals, review questions, programming exercises, and illustrative examples in each chapter
- Offers downloadable programs and supplementary files, with instructor materials available
| Publisher | Springer |
| Publication date | January 22, 2015 |
| Edition | 2015th |
| Language | English |
| Print length | 380 pages |
| ISBN-10 | 3319130714 |
| ISBN-13 | 978-3319130712 |
| Item Weight | 1.05 Kilograms |
| Dimensions | 6.1 x 0.86 x 9.25 inches (15.5 x 2.2 x 23.5 cm) |
Who Should Buy?
-
Undergraduate Students
Ideal for students pursuing computer science degrees, offering a clear understanding of data structures and algorithms fundamentals.
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Beginner Programmers
Perfect for novice programmers looking to enhance their skills in Python while learning critical data structures and algorithms.
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Self-learners
Great for individuals studying independently who want a structured approach to mastering data structures and algorithms.
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Advanced Professionals
Not suitable for experienced developers seeking advanced techniques or deeper theoretical insights beyond basic concepts.
Product Description
About This Item
Introducing "Data Structures and Algorithms with Python Undergraduate Topics in Computer Science 2015th Edition" Developed for both introductory and advanced levels, "Data Structures and Algorithms with Python" is a must-have textbook for computer science students. Its clear and concise structure makes it easy to understand the concepts and techniques necessary for writing efficient programs that can handle large amounts of data. This book takes a project-oriented approach, allowing students to apply what they've learned to real-world programming scenarios. It presents a number of important algorithms supported by motivating examples that bring meaning to the problems faced by computer programmers.
By introducing the idea of computational complexity, the book helps programmers make informed judgments about the algorithms they use. While some basic experience in computer programming and familiarity with an object-oriented language is assumed, no prior knowledge of Python is required. The book includes a primer on Python for those coming from a different language background, making it accessible to a wide range of readers. Each chapter is equipped with learning goals, review questions, and programming exercises to reinforce understanding. The book also offers downloadable programs and supplementary files on an associated website, with instructor materials available from the author. "Data Structures and Algorithms with Python" covers a range of topics suitable for both introductory and advanced courses.
It explores the use of hashing in sets and maps, binary search trees and tree traversals, and depth-first search of graphs. Advanced topics like membership structures, heaps, balanced binary search trees, B-trees, and heuristic search are also discussed. Written by Dr. Kent D.
Lee, a Professor of Computer Science at Luther College, and Dr. Steve Hubbard, a Professor of Mathematics and Computer Science at the same institution, this textbook combines their extensive knowledge and expertise. Whether you're an undergraduate student looking to deepen your understanding of data structures and algorithms or a computer programmer starting a new job working with Python, "Data Structures and Algorithms with Python" will be an invaluable resource. Get your copy today and elevate your programming skills to new heights.
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Customer Questions & Answers
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Question:
Does the book cover both introductory and advanced data structures and algorithms topics?
Answer: Yes. -
Question:
Are there programming exercises, learning goals and review questions in each chapter?
Answer: Yes. -
Question:
Are there downloadable programs and supplementary files available?
Answer: Yes, they are available at an associated website.
English Edition Kent D. D. Lee Python Editorial Review
Data Structures and Algorithms with Python, the 2015 edition published by Springer, is a comprehensive guide for undergraduate students in computer science. This book covers essential topics, structured in a way that is accessible for those new to the subject. With 380 pages of in-depth material supported by clear explanations and practical examples, it serves as a valuable resource for mastering data structures and algorithms. Readers often appreciate the clarity of the content and its useful structure, facilitating both study and reference. The dimensions make it an easy-to-handle book for coursework and personal study alike.
Customer Reviews & Ratings
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Pros
- Clear explanations of complex topics
- Comprehensive coverage of algorithms
- Well-structured for students
- Practical examples enhance understanding
- Accessible for beginners
Cons
- Some users may prefer more practice problems
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Features & Benefits
- Introduces computational complexity for making informed judgments using algorithms
- Project-oriented with numerous illustrative examples
- Provides learning goals, review questions, and programming exercises
- Covers both introductory and advanced data structures and algorithms topics
- Good for those from a different language background with the included primer on Python
- Offers downloadable programs and supplementary files at an associated website
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