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Computer Science
Programming
Functional Programming
1. Introduction to Functional Programming
2. Foundational Concepts
3. Core Techniques and Patterns
4. Type Systems in Functional Programming
5. Advanced Functional Abstractions
6. Functional Architecture and Design
7. Functional Programming in Practice
8. Performance Considerations
9. Advanced Topics
10. Further Study and Resources
Type Systems in Functional Programming
The Role of Types
Type Safety
Expressiveness
Documentation Through Types
Compiler Optimizations
Static vs. Dynamic Typing
Advantages and Trade-offs
Examples in Functional Languages
Type Checking at Compile Time vs. Runtime
Strong vs. Weak Typing
Type Enforcement
Type Coercion
Type Safety Guarantees
Type Inference
Definition and Mechanism
Benefits and Limitations
Hindley-Milner Type System
Local vs. Global Type Inference
Algebraic Data Types
Product Types
Tuples
Records
Structs
Sum Types
Tagged Unions
Enums
Variant Types
Recursive Types
Lists
Trees
Mutually Recursive Types
Phantom Types
Generalized Algebraic Data Types
Pattern Matching
Deconstructing Data Types
Matching on Product Types
Matching on Sum Types
Exhaustiveness Checking
Guards and Conditional Patterns
Nested Patterns
Pattern Matching vs. Conditionals
Polymorphism
Parametric Polymorphism
Generic Types
Type Variables
Quantification
Ad-hoc Polymorphism
Type Classes
Interfaces
Overloading
Subtype Polymorphism
Type Classes and Traits
Definition and Usage
Common Type Classes
Eq
Ord
Show
Functor
Applicative
Monad
Implementing Type Classes
Type Class Hierarchies
Coherence and Orphan Instances
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5. Advanced Functional Abstractions