Introduction to Python Programming and Data Structures, Global Edition, 3rd edition

Published by Pearson (January 29, 2026) © 2027

  • Y Daniel Liang Georgia Southern University
eTextbook in Pearson+

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.
Products list

Details

  • A print edition
Products list

Details

  • A print edition

Title overview

For introductory courses in Python Programming and Data Structures.

A fundamentals first approach to programming helps students create efficient, elegant code.

Introduction to Python Programming and Data Structures introduces students to basic programming concepts using a fundamentals-first approach that prepares students to learn object-oriented programming and advanced Python programming. This approach presents programming concepts and techniques that include control statements, loops, functions, and arrays before designing custom classes. Students learn basic logic and programming concepts prior to moving into object-oriented and GUI programming. The content incorporates a wide variety of problems with various levels of difficulty and covers many application areas to engage and motivate students.

For a list of errors in the print product, please click on this link. These errors will be corrected when the book goes for reprinting.

Table of contents

  1. Introduction to Computers, Programs, and Python
  2. Elementary Programming
  3. Selections
  4. Mathematical Functions, Strings, and Objects
  5. Loops
  6. Functions
  7. Lists
  8. Multidimensional Lists
  9. Objects and Classes
  10. Basic GUI Programming Using Tkinter
  11. Advanced GUI Programming Using Tkinter
  12. Inheritance and Polymorphism
  13. Files and Exception Handling
  14. Tuples, Sets, and Dictionaries
  15. Recursion
  16. Developing Efficient Algorithms
  17. Sorting
  18. Linked Lists, Stacks, Queues, and Priority Queues
  19. Binary Search Trees
  20. AVL Trees
  21. Hashing
  22. Graphs and Applications
  23. Weighted Graphs and Applications
  • Appendix A. Python Keywords
  • Appendix B. The ASCII Character Set
  • Appendix C. Number Systems
  • Appendix D. Command Line Arguments
  • Appendix E. Regular Expressions
  • Appendix F. Bitwise Operations
  • Appendix G. The Big-O, Big-Omega, and Big-Theta Notations
  • Appendix H. Operator Precedence Chart
  • Symbol Index
  • Supplemental Material
  • Glossary

Need help?Get in touch