Data Structures and Algorithms in Python
by Goodrich, Michael T.; Tamassia, Roberto; Goldwasser, Michael H.Edition: 1st
Format: Hardcover
Pub. Date: 2013-03-18
Publisher(s): Wiley
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Summary
This textbook is based on the authors' market leading data structures books (in Java and C++) and offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Python has been growing rapidly as the language for CS1, (including increases of 88%, 45%, and 49% in the last three years, per TWM.) The lack of texts and lack of consensus in departments have prevented wide adoption in CS2 so far, however, this is changing as more schools see how well Python is working in CS1 and more texts become available.
Author Biography
Michael Goodrich, PhD in Computer Science from Purdue University, 1987; Chancellor's Professor of Computer Science at University of California, Irvine; co-author (with Tamassia) of three other Wiley textbooks and a new computer security text, Addison Wesley, 2011.
Roberto Tamassia, PhD in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign, 1988; Plastech Professor of Computer Science and Chair of the CS Dept at Brown University; co-author with Goodrich, see texts above.
Michael Goldwasser, PhD in Computer Science from Stanford University, 1997; Associate Professor and Director of CS at St. Louis University; author of Object-Oriented Programming in Python, Pearson, 2008.
Table of Contents
Chapter 1: Python Programming Basics
Chapter 2: Object-Oriented Design
Chapter 3: Analysis Tools and Recursion
Chapter 4: Stacks, Queues, and Deques
Chapter 5: Sequence Abstractions
Chapter 6: Tree Structures
Chapter 7: Priority Queues
Chapter 8: Maps and Dictionaries
Chapter 9: Search Tree Structures
Chapter 10: Sorting, Sets, and Selection
Chapter 11: Strings and Dynamic Programming
Chapter 12: Graph Algorithms
Chapter 13: Memory Management and B-trees
Appendix A: Useful Mathematical Facts
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