Book 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++.
Table of contents
- Cover Page
- Title Page
- Copyright
- Dedication
- Preface
- Contents
-
Chapter 1: Python Primer
- 1.1 Python Overview
- 1.2 Objects in Python
- 1.3 Expressions, Operators, and Precedence
- 1.4 Control Flow
- 1.5 Functions
- 1.5.1 Information Passing
- 1.6 Simple Input and Output
- 1.7 Exception Handling
- 1.8 Iterators and Generators
- 1.9 Additional Python Conveniences
- 1.10 Scopes and Namespaces
- 1.11 Modules and the Import Statement
- 1.12 Exercises
- Chapter 2: Object-Oriented Programming
- Chapter 3: Algorithm Analysis
- Chapter 4: Recursion
- Chapter 5: Array-Based Sequences
- Chapter 6: Stacks, Queues, and Deques
- Chapter 7: Linked Lists
- Chapter 8: Trees
- Chapter 9: Priority Queues
- Chapter 10: Maps, Hash Tables, and Skip Lists
- Chapter 11: Search Trees
- Chapter 12: Sorting and Selection
- Chapter 13: Text Processing
- Chapter 14: Graph Algorithms
- Chapter 15: Memory Management and B-Trees
- Appendix A: Character Strings in Python
- Appendix B: Useful Mathematical Facts
- Bibliography
- Index
Product information
- Title: Data Structures and Algorithms in Python
- Author(s):
- Release date: March 2013
- Publisher(s): Wiley
- ISBN: 9781118290279
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