Introduction to Python Programming and Data Structures, Global Edition
(Sprache: Englisch)
For introductory courses in Python Programming and Data Structures.
A fundamentals first approach to programming helps students create efficient, elegant code.
...
A fundamentals first approach to programming helps students create efficient, elegant code.
...
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Klappentext zu „Introduction to Python Programming and Data Structures, Global Edition “
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.
Inhaltsverzeichnis zu „Introduction to Python Programming and Data Structures, Global Edition “
- Introduction to Computers, Programs, and Python
- Elementary Programming
- Selections
- Mathematical Functions, Strings, and Objects
- Loops
- Functions
- Lists
- Multidimensional Lists
- Objects and Classes
- Basic GUI Programming Using Tkinter
- Advanced GUI Programming Using Tkinter
- Inheritance and Polymorphism
- Files and Exception Handling
- Tuples, Sets, and Dictionaries
- Recursion
- Developing Efficient Algorithms
- Sorting
- Linked Lists, Stacks, Queues, and Priority Queues
- Binary Search Trees
- AVL Trees
- Hashing
- Graphs and Applications
- 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
Autoren-Porträt von Y. Liang
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.
Bibliographische Angaben
- Autor: Y. Liang
- 2022, 3. Auflage, 592 Seiten, Maße: 20,4 x 25,5 cm, Kartoniert (TB), Englisch
- Verlag: Pearson
- ISBN-10: 1292424125
- ISBN-13: 9781292424125
- Erscheinungsdatum: 26.10.2022
Sprache:
Englisch
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