Written for computer programming students, hobbyists, and professionals, FUNDAMENTALS OF PYTHON: DATA STRUCTURES is an introduction to object-oriented design and data structures using the popular Python programming language. The level of instruction assumes at least one semester of programming in an object-oriented language such as Java, C++, or Python. Through the step-by-step instruction and exercises in this book, you'll cover such topics as the design of collection classes with polymorphism and inheritance, multiple implementations of collection interfaces, and the analysis of the space/time tradeoffs of different collection implementations (specifically array-based implementations and link-based implementations). Collections covered include sets, lists, stacks, queues, trees, dictionaries, and graphs. Get ready to dig into Python data structures with FUNDAMENTALS OF PYTHON: DATA STRUCTURES.
Written for computer programming students, hobbyists, and professionals, FUNDAMENTALS OF PYTHON: DATA STRUCTURES is an introduction to object-oriented design and data structures using the popular Python programming language. The level of instruction assumes at least one semester of programming in an object-oriented language such as Java, C++, or Python. Through the step-by-step instruction and exercises in this book, you'll cover such topics as the design of collection classes with polymorphism and inheritance, multiple implementations of collection interfaces, and the analysis of the space/time tradeoffs of different collection implementations (specifically array-based implementations and link-based implementations). Collections covered include sets, lists, stacks, queues, trees, dictionaries, and graphs. Get ready to dig into Python data structures with FUNDAMENTALS OF PYTHON: DATA STRUCTURES.
1. Basic Python Programming.
2. An Overview of Collections.
3. Searching, Sorting, and Complexity Analysis.
4. Arrays and Linked Structures.
5. Interfaces, Implementations, and Polymorphism.
6. Inheritance and Abstract Classes.
7. Stacks.
8. Queues.
9. Lists.
10. Trees.
11. Sets and Dictionaries.
12. Graphs.
Kenneth A. Lambert is a Professor of Computer Science at Washington and Lee University. He has taught courses in almost every subject area related to computer science and has published several popular textbooks related to introductory programming and data structures in C++, Java™ and Python™. He is the co-creator of the BreezySwing framework and is the creator of the breezypythongui framework.
1. A Quick Course in Basic Python. 2. Basic Algorithms: Searching and Sorting. 3. Basic Data Structures: Arrays and Linked Structures. 4. Object-Oriented Design: Interfaces, Implementations, Polymorphism, and Inheritance. 5. An Overview of Collections. 6. Stacks and Queues. 7. Abstract Collections. 8. Lists. 9. Trees. 10. Sets and Dictionaries. 11. Graphs.
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