Dear Computer

• Project: Spreadsheet
  • Spreadsheet
  • Recording and Submitting
  • Milestone 1: Model
  • Milestone 2: Interpreter
  • Milestone 3: Interface
  • Milestone 4: Variables and Flow
• Howtos
  • Managing Your Repository
  • Curses Recipes
  • Installing Ruby
  • Installing Haskell
  • Installing Rust
• Introduction
  • Chapter 1: Programming Language
    • Letters to a Computer
    • Why Study Languages
    • A Barrage of Languages
    • Syntax and Semantics
    • From Source to Execution
    • Lexing
    • Grammars
    • Derivations
    • Parse Trees
    • Parsing
    • Lecture: Hello Ruby
    • Lecture: Language to Language
    • Lab: Lexing and Parsing
• Ruby
  • Chapter 2: Naming Things
    • Ruby as a Lens
    • Variables
    • von Neumann Architecture
    • Naming Practices
    • Symbols
    • Reassignment and Mutability
    • Scope
    • Static and Dynamic Scoping
    • Namespaces
    • Lecture: Settle, Part 2
    • Lab: Scope and Ruby
  • Chapter 3: Types
    • Values and Operations
    • Primitive Types
    • Composite Scalar Types
    • Composite Non-scalar Types
    • Typechecking
    • Converting Between Types
    • Static and Dynamic
    • Explicit and Implicit
    • Monkey Patching
    • Lecture: Settle, Part 3
    • Lab: Dynamic Typing
  • Chapter 4: Functions
    • Subprograms
    • Parameters
    • Return Values
    • Passing Mechanics
    • Overloading
    • Higher-order Functions
    • For-each
    • Map
    • Filter
    • Fold
    • Lecture: Higher-order Functions
    • Lab: Higher-order Functions
  • Chapter 5: Objects
    • State and Behavior
    • Object Syntax
    • Instantiation
    • Properties
    • Subclassing
    • Overriding Behaviors
    • Reuse Without Inheritance
    • Bootstrapping Classes
    • Multiple Inheritance
    • Mixins
    • Lecture: Graphing Calculator
    • Lab: Objects
  • Ruby Exams
    • Fall 2024 Exam
    • Spring 2024 Exam
    • Fall 2023 Exam
    • Spring 2023 Exam
    • Fall 2022 Exam
• Haskell
  • Chapter 6: Expressions
    • Haskell as a Lens
    • Functional Programming
    • Types
    • Defining Functions
    • Operators
    • Conditional Expressions
    • Custom Operators
    • Evaluation Order
    • Lecture: Haskell Puttering
  • Chapter 7: Immutability and I/O
    • Pure Functions
    • Random Number Generator
    • Output
    • Input
    • Helper Functions
    • Maybe Data
    • Iteration
    • Files
    • Guessing Game
    • Acrostic
    • Lecture: Haskell Mains
    • Lab: Haskell Mains
  • Chapter 8: Functions Revisited
    • Function Factory
    • Recursion
    • Pattern Matching
    • Higher-order Functions
    • Lambdas
    • Closures
    • Partial Application
    • Composition
    • Higher-order I/O
    • Lecture: Embracing Functions
    • Lab: Higher-order Mains
  • Chapter 9: Types Revisited
    • Algebraic Data Types
    • Enumerations
    • Enums with Data
    • Destructuring
    • Typeclasses
    • Record Types
    • Generic Types
    • Maybe and Either
    • Functions or Objects
    • Lecture: Transforms
    • Lab: Frankenshape
  • Haskell Exams
    • Fall 2024 Exam
    • Spring 2024 Exam
    • Fall 2023 Exam
    • Spring 2023 Exam
    • Fall 2022 Exam
• Rust
  • Chapter 10: Everything Revisited
    • Rust as a Lens
    • Print
    • Variables
    • Control Flow
    • Functions
    • Strings
    • Tuples
    • Structs
    • Enums
    • Arrays
    • Vectors
    • Lecture: Rust Mains
    • Lab: Rust Mains
  • Chapter 11: Managing Memory
    • A Place for Everything
    • Manual Release
    • Tracing
    • Reference Counting
    • Static Ownership
    • Box Type
    • Rc Type
    • Closures
    • Higher-order Functions
    • Lecture: Rust Exercises
    • Lab: Data Jam
  • Chapter 12: Polymorphism Revisited
    • Overwhelmed By Types
    • Parametric Polymorphism in Java
    • Parametric Polymorphism in C++
    • Parametric Polymorphism in Rust
    • Type Constraints
    • Traits
    • Subtype Polymorphism
    • The Three Pillars
    • Supertypes and Subtypes
    • Impossible Arrays
    • Ad Hoc Polymorphism
    • Lecture: Two Polymorphisms
    • Lab: Binary Search Tree
  • Chapter 13: Concurrency and Parallelism
    • Multiple Flows
    • Processes
    • Threads
    • Shared Memory
    • Message Passing
    • Data Parallelism
    • Coroutines
  • Rust Exams
    • Spring 2024 Exam
    • Fall 2023 Exam
    • Spring 2023 Exam
    • Fall 2022 Exam