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  1. 1. Recapping and Extending Some Key Prerequisite Material
  2. 1.1 The Python Memory Model: Introduction
  3. 1.2 The Python Memory Model: Functions and Parameters
  4. 1.3 The Function Design Recipe
  5. 1.4 Python Type Annotations
  6. 1.5 Testing Your Work
  7. 1.6 Choosing Test Cases
  8. 1.7 Introduction to Property-based Testing
  9.  
  10. 2. Object-Oriented Programming
  11. 2.1 Introduction to Object-Oriented Programming
  12. 2.2 Representation Invariants
  13. 2.3 Designing Classes
  14. 2.4 Inheritance: Introduction and Methods
  15. 2.5 Inheritance: Attributes and Initializers
  16. 2.6 Inheritance: Thoughts on Design
  17. 2.7 The object Class and Python Special Methods
  18.  
  19. 3. Abstract Data Types
  20. 3.1 Introduction to Abstract Data Types
  21. 3.2 Stacks and Queues
  22. 3.3 Exceptions
  23. 3.4 Analysing Program Running Time (updated Oct 13)
  24.  
  25. 4. Linked Lists
  26. 4.1 Introduction to Linked Lists
  27. 4.2 Traversing Linked Lists
  28. 4.3 Mutating Linked Lists
  29. 4.4 Linked Lists and Running Time
  30.  
  31. 5. Introduction to Recursion
  32. 5.1 Motivation: Adding Up Numbers
  33. 5.2 Nested Lists: A Recursive Data Structure
  34.  
  35. 6. Trees and Binary Search Trees
  36. 6.1 Introduction to Trees
  37. 6.2 A Tree Implementation
  38. 6.3 Mutating Trees
  39. 6.4 Introduction to Binary Search Trees
  40. 6.5 Binary Search Tree Implementation and Search
  41. 6.6 Mutating Binary Search Trees
  42. 6.7 Binary Search Trees and Running Time
  43. 6.8 Expression Trees
  44.  
  45. 7. Recursion Wrap-up
  46. 7.1 Recursive Sorting Algorithms
  47. 7.2 Efficiency of Recursive Sorting Algorithms
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