Description

Book Synopsis

Y. Daniel Liang earned his Ph.D. in Computer Science from the University of Oklahoma, USA in 1991, and an MS and BS in Computer Science from Fudan University, China, in 1986 and 1983. Prior to joining Armstrong, he was Associate Professor of Computer Science at Purdue University in Fort Wayne, where he twice received the Excellence in Research Award.

Dr. Liang was trained in theoretical computer science. He was active in graph algorithms from 1990 to 1995 and published more than ten papers in several established journals such as SIAM Journal on Computing, Discrete Applied Mathematics, Acta Informatics, and Information Processing Letters. Since 1996, he has devoted to writing texts and published more than thirty books with Prentice Hall. His popular computer science texts are widely adopted in the world.

Dr. Liang was elected a Java Champion in 2005 by Sun Microsystems and has given lectures on Java internationally.



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

Introduction to Python Programming and Data

Product form

£63.64

Includes FREE delivery

RRP £66.99 – you save £3.35 (5%)

Order before 4pm today for delivery by Mon 12 Jan 2026.

A Paperback / softback by Y. Liang

1 in stock


    View other formats and editions of Introduction to Python Programming and Data by Y. Liang

    Publisher: Pearson Education Limited
    Publication Date: 02/11/2022
    ISBN13: 9781292424125, 978-1292424125
    ISBN10: 1292424125

    Description

    Book Synopsis

    Y. Daniel Liang earned his Ph.D. in Computer Science from the University of Oklahoma, USA in 1991, and an MS and BS in Computer Science from Fudan University, China, in 1986 and 1983. Prior to joining Armstrong, he was Associate Professor of Computer Science at Purdue University in Fort Wayne, where he twice received the Excellence in Research Award.

    Dr. Liang was trained in theoretical computer science. He was active in graph algorithms from 1990 to 1995 and published more than ten papers in several established journals such as SIAM Journal on Computing, Discrete Applied Mathematics, Acta Informatics, and Information Processing Letters. Since 1996, he has devoted to writing texts and published more than thirty books with Prentice Hall. His popular computer science texts are widely adopted in the world.

    Dr. Liang was elected a Java Champion in 2005 by Sun Microsystems and has given lectures on Java internationally.



    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

    Recently viewed products

    © 2026 Book Curl

      • American Express
      • Apple Pay
      • Diners Club
      • Discover
      • Google Pay
      • Maestro
      • Mastercard
      • PayPal
      • Shop Pay
      • Union Pay
      • Visa

      Login

      Forgot your password?

      Don't have an account yet?
      Create account