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Data Structure and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles 1st Edition, authored by Narasimha Karumanchi, is a comprehensive guide that helps readers gain expertise in data structures and algorithmic complexities. The book consists of various complex problems with solutions and provides a detailed analysis of each problem while also providing algorithms that can be used to solve similar problems in the future.
Data Structure and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles
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Data Structure and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles 1st Edition, authored by Narasimha Karumanchi, is a comprehensive guide that helps readers gain expertise in data structures and algorithmic complexities. The book consists of various complex problems with solutions and provides a detailed analysis of each problem while also providing algorithms that can be used to solve similar problems in the future.
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- Peeling Data Structures and Algorithms:The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style. This book focuses on giving solutions for complex problems in data structures and algorithm. It even provides multiple solutions for a single problem, thus familiarizing readers with different possible approaches to the same problem. Data Structure and Algorithmic Thinking with Python is designed to give a jump-start to programmers, job hunters and those who are appearing for exams. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews. This book, with its focused and practical approach, can help readers quickly pick up the concepts and techniques for developing efficient and effective solutions to problems.Topics Covered:Organization of chaptersIntroductionRecursion and BacktrackingLinked ListsStacksQueuesTreesPriority Queue and HeapsDisjoint Sets ADTGraph AlgorithmsSorting Searching Selection Algorithms Medians Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Miscellaneous Concepts
| Publisher | CareerMonk Publications |
| Publication date | January 29, 2015 |
| Edition | 1st |
| Language | English |
| Print length | 436 pages |
| ISBN-10 | 8192107590 |
| ISBN-13 | 978-8192107592 |
| Item Weight | 2.22 pounds (1.01 kg) |
| Dimensions | 8.5 x 1.03 x 11 inches (21.6 x 2.6 x 27.9 cm) |
Who Should Buy?
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Beginner Programmers
Ideal for those new to programming, providing foundational concepts in data structures and algorithms using Python.
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Students
Great for computer science students seeking to deepen their understanding of algorithms and enhance problem-solving skills.
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Self-learners
Perfect for individuals who prefer self-study and wish to engage with practical coding puzzles and algorithm challenges.
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Advanced Developers
Not suitable for experienced developers as it may lack depth in advanced topics and complex algorithms.
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Structured Design Editorial Review
Data Structure and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles 1st Edition provides a practical approach towards understanding data structure and algorithmic problems. While the detailed subjects covered in the book are fascinating, the code samples and text are riddled with errors, making it tedious for readers to debug and learn the material. Some readers have accused the author of copying content from online sources and not knowing much about the subject being written. However, this book has worked for some non-CS engineering majors, unlike other technical books that are gathering dust on their shelves.
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Pros
- Provides a practical approach towards understanding data structure and algorithmic problems
- Detailed subjects covered are fascinating
Cons
- Code samples and text contain numerous errors and typos
Product Price History
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Features & Benefits
- Comprehensive guide for readers to gain expertise in data structures and algorithmic complexities
- Consists of various complex problems with solutions
- After detailed analysis of each problem, algorithms are provided that can be used to solve similar problems in the future.
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