Coding/Learn/haskell/haskell list comprehensions
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05.Strings, Lists & the Cons Operator (:)
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09.Pattern Matching on Functions
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15.Anonymous Lambda Expressions (\x -> expr)
16.Higher-Order Functions: map, filter, foldl & foldr
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20.List Functions: head, tail, take, drop & null
21.Arithmetic Sequences & List Ranges
22.List Comprehensions
23.Zipping & Combining Lists (zip, zipWith)
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26.Standard Typeclasses: Eq, Ord, Show & Num
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52.Comprehensive Functional Practice Challenges
53.Final Knowledge Assessment Quiz
54.Capstone Project: Domain Expression Evaluator & AST Engine
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Lesson 22 of 55
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List Comprehensions

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In Plain English

List comprehensions provide an elegant syntax [output | input <- list, predicate] mirroring mathematical set-builder notation to map, filter, and combine collections.

Deep Dive: How It Works

Basic Comprehension: [x * 2 | x <- [1..5]] maps (* 2) over [1..5].

Predicates (Guards): [x | x <- [1..10], even x, x > 4] filters numbers.

Multiple Generators: [(x, y) | x <- [1, 2], y <- ["a", "b"]] produces the Cartesian product.

PointCore Rules to Remember

Point star
Mathematical Set-Builder Syntax: Declarative generation and filtering in a single expression.
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Multiple Generators: Easily compute cartesian products and coordinate grids.

Live Interactive Example

Hit Run Code to see it live
Pythagorean Triples with Comprehensions
Python 3.12
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Output Console
Click "Run Code" to view the rendered output.
How it works: 6^2 + 8^2 = 36 + 64 = 100 = 10^2, and 6 + 8 + 10 = 24.

Your Turn: Micro Challenge

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

Micro Exercise

Build Filtered Squares Comprehension

  • PointGenerate `[x^2 | x <- [1..10], x > 5]`.
  • PointPrint `"Result: "` followed by the result.
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Sandbox Output
Click "Run & Check" to test your solution.

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