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- 1. Recapping and Extending Some Key Prerequisite Material
- 1.1 The Python Memory Model: Introduction
- 1.2 The Python Memory Model: Functions and Parameters
- 1.3 The Function Design Recipe
- 1.4 Python Type Annotations
- 1.5 Testing Your Work
- 1.6 Choosing Test Cases
- 1.7 Introduction to Property-based Testing
- 2. Object-Oriented Programming
- 2.1 Introduction to Object-Oriented Programming
- 2.2 Representation Invariants
- 2.3 Designing Classes
- 2.4 Inheritance: Introduction and Methods
- 2.5 Inheritance: Attributes and Initializers
- 2.6 Inheritance: Thoughts on Design
- 2.7 The object Class and Python Special Methods
- 3. Abstract Data Types
- 3.1 Introduction to Abstract Data Types
- 3.2 Stacks and Queues
- 3.3 Exceptions
- 3.4 Analysing Program Running Time (updated Oct 13)
- 4. Linked Lists
- 4.1 Introduction to Linked Lists
- 4.2 Traversing Linked Lists
- 4.3 Mutating Linked Lists
- 4.4 Linked Lists and Running Time
- 5. Introduction to Recursion
- 5.1 Motivation: Adding Up Numbers
- 5.2 Nested Lists: A Recursive Data Structure
- 6. Trees and Binary Search Trees
- 6.1 Introduction to Trees
- 6.2 A Tree Implementation
- 6.3 Mutating Trees
- 6.4 Introduction to Binary Search Trees
- 6.5 Binary Search Tree Implementation and Search
- 6.6 Mutating Binary Search Trees
- 6.7 Binary Search Trees and Running Time
- 6.8 Expression Trees
- 7. Recursion Wrap-up
- 7.1 Recursive Sorting Algorithms
- 7.2 Efficiency of Recursive Sorting Algorithms
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