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Fundamentals of Python: Data Structures (MindTap Course List)
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XPF 9511
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Prepare for success with FUNDAMENTALS OF PYTHON™: DATA STRUCTURES, 2E.
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What Stands Out
Product Details
| 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?
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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.
Product Description
Fundamentals of Python: Data Structures (MindTap Course List)
Customer Questions & Answers
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Question:
What is the primary focus of 'Fundamentals of Python: Data Structures MindTap Course List 2nd Edition'?
Answer: This textbook primarily focuses on the principles of Python programming with a specific emphasis on data structures. It covers fundamental concepts such as lists, dictionaries, sets, and tuples, providing a robust foundation for students and professionals alike. This resource is ideal for those looking to build programming skills and understand data organization in computing, which is essential for software development, data analysis, and machine learning applications. -
Question:
Who is the intended audience for this book?
Answer: The intended audience for 'Fundamentals of Python: Data Structures MindTap Course List 2nd Edition' includes students in introductory computer science courses, educators teaching Python programming, and professionals seeking to enhance their coding skills. Its structured approach makes it accessible to beginners while still offering depth for more experienced programmers developing their knowledge of data handling and algorithm development. -
Question:
What learning resources are included with this textbook?
Answer: The textbook is accompanied by MindTap, an interactive online learning platform that includes quizzes, assignments, and additional resources to enhance the learning experience. Users benefit from a blend of theoretical knowledge and practical coding exercises that promote engagement. These resources are especially useful for reinforcing concepts learned in the book and applying them to real-world programming scenarios, such as data analysis and application development. -
Question:
Is there a companion website or online platform for additional practice?
Answer: Yes, 'Fundamentals of Python: Data Structures MindTap Course List 2nd Edition' offers access to a companion online platform called MindTap. This platform provides interactive features such as coding exercises, video tutorials, and self-assessment tools. Utilizing MindTap significantly enhances the learning process, allowing users to practice their coding skills in real-time and gain immediate feedback on their progress. -
Question:
Can this book be used for self-study?
Answer: Absolutely! This textbook is designed for both classroom use and self-study. Its clear explanations and step-by-step coding examples make it an excellent choice for independent learners. Readers can easily follow along with the content at their own pace, making it suitable for those looking to enhance their skills outside a traditional classroom setting or preparing for interviews in tech-related fields. -
Question:
What programming concepts are emphasized in this edition?
Answer: This edition emphasizes key programming concepts such as data abstraction, algorithmic thinking, and the importance of selecting appropriate data structures for different programming tasks. Additionally, it explores how to manipulate and organize data efficiently, which is vital in both academic research and practical applications in industries like data science and software engineering. -
Question:
Does this textbook include real-world examples of Python applications?
Answer: Yes, the textbook includes various real-world examples that illustrate how Python can be utilized in different contexts, such as web development, data processing, and automation. These examples help bridge the gap between theoretical concepts and practical application, allowing readers to see how programming knowledge can be effectively used to solve complex problems in the tech industry. -
Question:
How does this book differ from other Python programming resources?
Answer: 'Fundamentals of Python: Data Structures MindTap Course List 2nd Edition' differentiates itself by combining comprehensive theoretical knowledge with extensive hands-on practice. While many programming books focus solely on syntax, this one prioritizes the crucial aspect of data structures, offering learners a deeper understanding of efficient programming and data management, which is critical for tackling more complex problems in various fields. -
Question:
What prerequisites should a reader have before using this book?
Answer: While there are no strict prerequisites, having a basic understanding of programming concepts and familiarity with any programming language can greatly enhance the learning experience. Readers who are completely new to programming may benefit from reviewing introductory materials beforehand, as the concepts discussed will build upon fundamental programming theories and practices. -
Question:
Where can I buy 'Fundamentals of Python: Data Structures MindTap Course List 2nd Edition'?
Answer: You can purchase 'Fundamentals of Python: Data Structures MindTap Course List 2nd Edition' on Ubuy, which offers a user-friendly shopping experience for this educational resource in French Polynesia. Ubuy frequently has a wide selection of books and materials catered to learners and professionals in various fields, making it a go-to platform for acquiring this essential textbook.
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. **
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Pros
- 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.
Cons
- Limited examples or case studies for professional application.
Platform Trust & Buyer Confidence
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XPF 9511
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Features & Benefits
- 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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