1. Getting Started

• 1.1. Computational Thinking
  • 1.1.1. Decomposition and abstraction
  • 1.1.2. Modeling
  • 1.1.3. Algorithms
  • 1.1.4. Complexity
• 1.2. Programming Basics
  • 1.2.1. Tools
  • 1.2.2. Your First Program
  • 1.2.3. The Basics
  • 1.2.4. Variables
  • 1.2.5. Types
  • 1.2.6. Expressions
  • 1.2.7. Casting
  • 1.2.8. Dynamic Typing Revisited
  • 1.2.9. Code Comments
• 1.3. Control Flow Statements
  • 1.3.1. Conditional Statements
  • 1.3.2. for Loops
  • 1.3.3. while loops
  • 1.3.4. Putting it all together
  • 1.3.5. Practice Problem Solutions
• 1.4. Introduction to Functions
  • 1.4.1. Anatomy of a function
  • 1.4.2. Encapsulating primality testing
  • 1.4.3. Return statements
  • 1.4.4. Advantages of using functions
  • 1.4.5. Variable scope
  • 1.4.6. Parameters
  • 1.4.7. Global variables
  • 1.4.8. The function call stack
  • 1.4.9. Practice Problem Solutions
• 1.5. Basics of Code Organization
  • 1.5.1. Python modules
  • 1.5.2. Running vs importing a module
  • 1.5.3. Computer programs revisited
  • 1.5.4. The Python Standard Library
• 1.6. Understanding Errors and Catching Exceptions
  • 1.6.1. Catching exceptions
  • 1.6.2. Practice Problems
  • 1.6.3. Practice Problem Solutions
• 1.7. Example: A Game of Chance
  • 1.7.1. Rolling dice
  • 1.7.2. Playing a round
  • 1.7.3. Simulating a player
  • 1.7.4. Estimating win rate
  • 1.7.5. Main block
  • 1.7.6. Final Program