Coding/Learn/haskell/haskell capstone evaluator
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 ($)
18.Recursion Patterns & Tail Recursion
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20.List Functions: head, tail, take, drop & null
21.Arithmetic Sequences & List Ranges
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24.Lazy Evaluation & Infinite Streams
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26.Standard Typeclasses: Eq, Ord, Show & Num
27.Defining Custom Typeclasses & Instances
28.Type Synonyms (type) & newtype Wrappers
29.Algebraic Data Types (data ADT)
30.Record Syntax & Named Fields
31.The Maybe Type & Null Safety
32.The Either Type for Detailed Errors
33.Pattern Matching on Maybe & Either
34.Domain Errors & Validation Pipelines
35.Recursive Data Structures: Binary Trees
36.Strictness, seq & Bang Patterns (!)
37.The Functor Typeclass & fmap (<$>)
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
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44.File I/O: Reading & Writing Files
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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 54 of 55
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Capstone Project: Domain Expression Evaluator & AST Engine

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In Plain English

Put all your Haskell skills into practice by building a complete domain expression tree evaluator supporting numeric literals, binary operations (+, -, *, /), variable bindings, and safe error handling using Either.

Deep Dive: How It Works

System Architecture:

1. Expression ADT: data Expr = Val Double | Var String | Add Expr Expr | Sub Expr Expr | Mul Expr Expr | Div Expr Expr.

2. Environment: type Env = [(String, Double)] for variable lookups.

3. Pure Evaluator: eval :: Env -> Expr -> Either String Double.

4. Safe Error Propagation: Catches division by zero and unbound variables gracefully.

PointCore Rules to Remember

Point star
End-to-End Algebraic Design: Combines recursive ADTs, pattern matching, and error monad mechanics.
Point star
Safe Evaluation Engine: Guaranteed crash-proof expression evaluation with explicit domain errors.

Live Interactive Example

Hit Run Code to see it live
Pure Expression AST Evaluator
Python 3.12
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Output Console
Click "Run Code" to view the rendered output.
How it works: The evaluator safely computed 30.0 and cleanly returned Left "Division by zero".

Your Turn: Micro Challenge

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

Micro Exercise

Evaluate Expression Tree

  • PointEvaluate `Add (Val 15.0) (Val 27.0)` in an empty environment `[]`.
  • PointPrint `"Evaluated: "` followed by `show (eval [] (Add (Val 15.0) (Val 27.0)))`.
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Sandbox Output
Click "Run & Check" to test your solution.

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