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Programming with Python with MindTap

Author(s): Kyla Mcmullen, Elizabeth Matthews, June Jamrich Parsons

ISBN: 9789360534783

1st Edition

Copyright: 2023

₹650

Binding: Paperback

Pages: 560

Trim Size : 279 x 216 mm

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Ideal for anyone who has never programmed, McMullen/Matthews/Parsons' PROGRAMMING WITH PYTHON uses a beginner's approach that combines conceptual content with rich examples and hands-on learning activities. Straightforward and student friendly, it emphasizes fundamental computer concepts from a Python programming perspective using a clear presentation with little technical jargon. Modules introduce important computer science concepts, procedural programming and object-oriented programming in short segments, while real-world examples, streamlined code and descriptive figures help you better understand today's computing concepts. As you strengthen your computer science knowledge, you will also sharpen critical-thinking and problem-solving skills -- and build confidence.

  • CRITICAL THINKING Q&A: Helping students focus on key material, a series of brief critical thinking questions review the main points introduced in each chapter as well as reinforce new concepts at the moment of learning.
  • ROBUST INSTRUCTOR’S MANUAL: Lesson-by-lesson outlines equip instructors with helpful suggestions for presenting difficult concepts, additional code examples and questions that prompt lively class discussions.
  • POWERPOINT REVIEW: Students can use PowerPoint slides to review key concepts -- maximizing their study time and course success.
  • COMPLETE CODE EXAMPLES: Providing students with additional insight, embedded figures illustrate the application of general concepts in Python code.
  • MindTap includes:
  1. Course Orientation
  2. Videos
  3. Coding Snippets
  4. Python Code Examples
  5. Q&A

 

1. Computational Thinking.

2. Programming Tools.

3. Literals, Variables, and Constants.

4. Numeric Data Types and Expressions.

5. Character and String Data Types.

6. Decision Control Structures.

7. Repetition Control Structures.

8. Lists.

9. Functions.

10. Exceptions.

11. File Operations.

12. Recursion.

13. Modules.

14. Classes and Objects.

15. Methods.

16. Encapsulation.

17. Inheritance.

18. Polymorphism.

19. Linked List Data Structures.

20. Stacks, Queues, and Tables.

21. Trees and Graphs.

22. Algorithm Complexity and Big-O Notation.

23. Search Algorithms.

24. Sorting Algorithms.

25. Processor Architecture.

26. Data Representation.

27. Programming Paradigms.

28. User Interfaces.

29. Software Development Methodologies.

30. Pseudocode, Flowcharts, and Decision Tables.

31. Unified Modeling Language.

Kyla McMullen

Kyla McMullen is a tenure-track faculty member in the University of Florida's Computer & Information Sciences & Engineering Department.

Elizabeth Matthews

Elizabeth "Liz" A. Matthews is an assistant professor of computer science at Washington and Lee University in Lexington, Virginia.

June Jamrich Parsons

June Jamrich Parsons is an educator, digital book pioneer, co-author of Texty and McGuffey award-winning textbooks and a TAA fellow.

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