Coding/Learn/haskell/haskell type inference
Learn Haskell & Pure Functional Programming
01.Introduction to Haskell & GHC
02.Syntax, Comments & Program Layout
03.Basic Types & Immutability
04.Arithmetic, Precedence & Infix Functions
05.Strings, Lists & the Cons Operator (:)
06.Booleans, Equality & Logical Operators
07.Conditional Expressions (if then else)
08.Function Guards (| condition = result)
09.Pattern Matching on Functions
10.Case Expressions (case of)
11.Local Bindings with let ... in
12.Auxiliary Bindings with where Clauses
13.Function Signatures & Referential Transparency
14.Currying & Partial Function Application
15.Anonymous Lambda Expressions (\x -> expr)
16.Higher-Order Functions: map, filter, foldl & foldr
17.Function Composition (.) & Application ($)
18.Recursion Patterns & Tail Recursion
19.Tuples & Pair Operations (fst, snd)
20.List Functions: head, tail, take, drop & null
21.Arithmetic Sequences & List Ranges
22.List Comprehensions
23.Zipping & Combining Lists (zip, zipWith)
24.Lazy Evaluation & Infinite Streams
25.Type Inference & Type Variables
26.Standard Typeclasses: Eq, Ord, Show & Num
27.Defining Custom Typeclasses & Instances
28.Type Synonyms (type) & newtype Wrappers
29.Algebraic Data Types (data ADT)
30.Record Syntax & Named Fields
31.The Maybe Type & Null Safety
32.The Either Type for Detailed Errors
33.Pattern Matching on Maybe & Either
34.Domain Errors & Validation Pipelines
35.Recursive Data Structures: Binary Trees
36.Strictness, seq & Bang Patterns (!)
37.The Functor Typeclass & fmap (<$>)
38.Applicative Functors: pure & (<*>)
39.The Monad Typeclass & Bind Operator (>>=)
40.Do Notation & Monadic Desugaring
41.The Three Monad Laws
42.Monadic Utilities: sequence, mapM, forM & when
43.The IO Monad & Pure/Impure Separation
44.File I/O: Reading & Writing Files
45.Modules, Exports & Qualified Imports
46.Monad Transformers: Reader, Writer & State
47.Concurrency, forkIO & MVars
48.Property-Based Testing with QuickCheck
49.Unit Testing & Test Suites (HUnit / Hspec)
50.Monadic Parsing & Parser Combinators
51.Production Architecture: Cabal & Stack
52.Comprehensive Functional Practice Challenges
53.Final Knowledge Assessment Quiz
54.Capstone Project: Domain Expression Evaluator & AST Engine
55.Verified Haskell Developer Certificate
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Lesson 25 of 55
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Type Inference & Type Variables

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In Plain English

Haskell uses the Hindley-Milner type system to infer the most general type of every expression automatically. Type variables (lowercase like a, b) enable parametric polymorphism.

Deep Dive: How It Works

Type Variables: In id :: a -> a, a is a type variable that can represent any concrete type (Int, String, [Bool]).

Parametric Polymorphism: Functions like length :: [a] -> Int work uniformly across lists of any element type.

Type vs Value Names: Types and type constructors always start with capital letters (Int, Bool, Maybe); variables and type parameters start with lowercase (x, a, elem).

PointCore Rules to Remember

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Complete Type Inference: Type signatures are optional because the compiler infers them, but writing them is best practice.
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Capitalization Distinction: Capitalized names are concrete Types/Constructors; lowercase names are variables.

Live Interactive Example

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Parametric Polymorphic Functions
Python 3.12
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Output Console
Click "Run Code" to view the rendered output.
How it works: myId and myConst work across any input types seamlessly.

Your Turn: Micro Challenge

No pressure! Edit the starter code below and test your solution with instant feedback.

Micro Exercise

Implement Polymorphic First Element Function

  • PointDefine `firstElem :: (a, b) -> a` where `firstElem (x, _) = x`.
  • PointPrint `"First: "` followed by `show (firstElem (123, "test"))`.
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Sandbox Output
Click "Run & Check" to test your solution.

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