Data Structures and Algorithms in Python


DESCRIPTION

Based on the authors’ market leading data structures books in Java and C++, this textbook offers a comprehensive, definitive introduction to data structures in Python by respected authors.  Data Structures and Algorithms in Python is the first mainstream object-oriented book available for the Python data structures course.  Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++.

About the Author

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 Content : 
  1. Python Primer
  2. Object-Oriented Programming
  3. Algorithm Analysis
  4. Recursion
  5. Array-Based Sequences
  6. Stacks, Queues, and Deques
  7. Linked Lists
  8. Trees
  9. Priority Queues
  10. Maps, Hash Tables, and Skip Lists
  11. Search Trees
  12. Sorting and Selection
  13. Text Processing
  14. Graph Algorithms
  15. Memory Management and B-Trees
    A. Character Strings in Python
    B. Useful Mathematical Facts

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