Name: Programming with Python
ISBN: 9780357637456

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Programming

Computing & Information Technology

CTE - Computing, Office & Media Arts

Open Source

Python

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B2B & B2C

Programming with Python

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.

PROGRAMMING WITH PYTHON

MindTap for McMullen/Matthews/Parson's Programming with Python

SSO MT PROGRAMMING WITH PYTHON

Instructor's Companion Website for McMullen/Matthews/Parsons' Programming with Python

Instructor's Companion Website

Everything you need for your course in one place! This collection of book-specific lecture and class tools is available online via www.cengage.com/login. Access and download the workbook answer keys.

INSTR WBS PROGRAMMING WITH PYT HON

SSO MT MAST PROGRAMMING WITH P YTHON

Duration

Duration Unit Of Measure

Transaction Type

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.

Programming with Python

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