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Overview
Ideal for beginners, McMullen/Matthews/Parsons' PROGRAMMING WITH PYTHON pairs conceptual content with rich examples and hands-on learning activities designed to convey the particular components and structure of the Python programming language. This straightforward approach emphasizes fundamental computer concepts from a Python programming perspective in a clear presentation with little technical jargon. Modules introduce important computer science concepts, procedural programming and object-oriented programming in short segments and can be used in any order -- giving instructors flexibility to intersperse conceptual modules with hands-on programming modules. Real-world examples, streamlined code and descriptive figures help students understand today's computing concepts. Learners refine critical-thinking and problem-solving skills as they build computer science skills -- and 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.
- COMPREHENSIVE TEST BANK: Choosing from over 350 multiple-choice language-agnostic Test Bank questions, instructors can easily create concept-based assessments to effectively evaluate student understanding.
- 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.
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.