ISBN-10:
0357122755
ISBN-13:
9780357122754
Pub. Date:
12/01/2018
Publisher:
Cengage Learning
Fundamentals of Python: Data Structures / Edition 2

Fundamentals of Python: Data Structures / Edition 2

by Kenneth Lambert

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Overview

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.

Product Details

ISBN-13: 9780357122754
Publisher: Cengage Learning
Publication date: 12/01/2018
Series: MindTap Course List Series
Edition description: 2nd ed.
Pages: 448
Sales rank: 997,961
Product dimensions: 7.30(w) x 9.00(h) x 0.80(d)

About the Author

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.

Table of Contents

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.

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