Paperback : HK$902.00
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. Introduction.
2. Data Types and Expressions.
3. Control Statements.
4. Strings and Text Files.
5. Lists and Dictionaries.
6. Design with Functions.
7. Simple Graphics and Image Processing.
8. Graphical User Interfaces.
9. Design with Classes.
10. Network Applications and Client/Server Programming.
11. Searching, Sorting, and Complexity.
Appendices.
Glossary.
Index.
Kenneth A. Lambert is Professor of Computer Science and Head of the Department at Washington and Lee University. He has taught programming language design for 25 years and has been an active researcher in computer science education. Lambert has co-authored a series of introductory C++ textbooks with Douglas Nance and Thomas Naps and a series of introductory Java textbooks with Martin Osborne, and is the author of an introductory Python textbook. He is also the co-creator of the BreezySwing framework and is the creator of the breezypythongui framework.
|
Ask a Question About this Product More... |
|
