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Fundamentals of Python: Data Structures (MindTap Course List)
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HNL 2066
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Prepare for success with FUNDAMENTALS OF PYTHON™: DATA STRUCTURES, 2E.
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- Whether you are a computer programming student, hobbyist or professional, Lambert's FUNDAMENTALS OF PYTHON™: DATA STRUCTURES, 2E offers the perfect introduction to object-oriented design and data structures using the popular Python™ programming language. The level of instruction is ideal if you've had at least one semester of programming experience in an object-oriented language, such as Java™, C++ or Python™. Step-by-step explanations and focused exercises clearly explain the design of collection classes with polymorphism and inheritance and multiple implementations of collection interfaces. This edition also addresses the analysis of the space/time tradeoffs of different collection implementations and, specifically, array-based implementations and link-based implementations. You learn to work with collections, including sets, lists, stacks, queues, trees, dictionaries and graphs. Prepare for success with FUNDAMENTALS OF PYTHON™: DATA STRUCTURES, 2E.
| Publisher | Cengage Learning |
| Publication date | October 11, 2018 |
| Edition | 2nd |
| Language | English |
| Print length | 448 pages |
| ISBN-10 | 0357122755 |
| ISBN-13 | 978-0357122754 |
| Item Weight | 1.52 pounds (690 grams) |
| Dimensions | 7.5 x 0.75 x 9 inches (19.1 x 1.9 x 22.9 cm) |
Who Should Buy?
-
Beginner Programmers
Ideal for individuals new to programming, providing foundational knowledge in Python data structures.
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Academic Learners
Designed for students enrolled in computer science courses, aligning with curriculum needs for data structure understanding.
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Self-Paced Learners
Perfect for those who prefer flexible, self-guided study with online resources and exercises to strengthen understanding.
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Advanced Programmers
Not suitable for experienced coders seeking advanced data structure techniques or deeper language features.
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Object-Oriented Design Editorial Review
The "Fundamentals of Python: Data Structures" textbook has garnered positive feedback from users who appreciate its structured approach to teaching Python programming. Reviewers have noted that the content is well-organized, making it easier for both beginners and intermediate learners to grasp the concepts of data structures within the Python programming language. The clarity of explanations and the quality of the exercises provided in the book have been highlighted as significant strengths, allowing learners to reinforce their understanding through practical applications. Users also appreciate the comprehensive coverage of key data structures, such as lists, tuples, dictionaries, and sets, which equips students with crucial knowledge applicable in real-world programming challenges. Additionally, many have pointed out the effectiveness of the supplementary materials, including online resources that accompany the textbook, enhancing the learning experience further. On the downside, some readers have expressed a desire for more examples or case studies that would showcase the application of data structures in professional settings. There are mentions of areas where additional depth could be beneficial, particularly for more experienced programmers seeking to refine their skills. Overall, "Fundamentals of Python: Data Structures" is well-received as a fundamental resource for those looking to develop a solid grounding in Python's data handling capabilities, with adequate resources to supplement the learning path. **
Customer Reviews & Ratings
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5 estrella
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ventajas
- Well-organized content that simplifies the learning process.
- Clear explanations of complex concepts.
- Comprehensive coverage of essential data structures.
- Practical exercises that reinforce learning.
- Effective supplementary online resources.
Contras
- Limited examples or case studies for professional application.
Product Price History
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características y beneficios
- Ideal introduction to object-oriented design and data structures.
- Designed for students, hobbyists, or professionals with programming background.
- Offers step-by-step explanations and focused exercises.
- Covers a variety of collection classes and interfaces.
- Addresses space/time trade-offs in different implementations.
- Learn to work with sets, lists, stacks, queues, trees, dictionaries, and graphs.
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