Python and Algorithmic Thinking for the Complete Beginner: Learn to think like a programmer by mastering Python programming and algorithmic foundations

Table of Contents

1. How a Computer Works
2. Python and Integrated Development Environments
3. Software Packages to Install
4. Introduction to Basic Algorithmic Concepts
5. Variables and Constants
6. Handling Input and Output
7. Operators
8. Trace Tables
9. Using IDLE or Visual Studio Code
10. Introduction to Sequence Control Structures
11. Manipulating Numbers
12. Complex Mathematical Expressions
13. Exercises With a Quotient and a Remainder
14. Manipulating Strings
15. Making Questions
16. The Single-Alternative Decision Structure
17. The Dual-Alternative Decision Structure
18. The Multiple-Alternative Decision Structure
19. Nested Decision Control Structures
20. More about Flowcharts with Decision Control Structures
21. Tips and Tricks with Decision Control Structures
22. More with Decision Control Structures
23. Introduction to Loop Control Structures
24. Pre-Test, Mid-Test and Post-Test Loop Structures
25. Definite Loops
26. Nested Loop Control Structures
27. More about Flowcharts with Loop Control Structures
28. Tips and Tricks with Loop Control Structures
29. More with Loop Control Structures
30. One-Dimensional Lists and Dictionaries
31. Two-Dimensional Lists
32. Tips and Tricks with Data Structures
33. More with Data Structures
34. Introduction to Subprograms
35. User-Defined Subprograms
36. Tips and Tricks with Subprograms
37. More with Subprograms
38. Introduction to Object-Oriented Programming
39. Introduction to Files
40. More with Files