Skip to main content
Back to course
Log in
Get started
Someone wanted to learn this too, so Grasp built them a personal learning path.
Create your own
Programming Language History & Theory
ยท
Module 1
Foundations of Functional Programming
1
Expressions vs. Statements: A Language Comparison
Distinguish between expressions and statements, using examples from early imperative languages (e.g., C) and functional languages (e.g., Lisp).
Distinguish between expressions and statements, using examples from early imperative languages (e.g., C) and functional languages (e.g., Lisp).
2
Referential Transparency: From Math to Functional Code
Apply referential transparency to reason about code equivalence, referencing its mathematical origins and role in early functional languages.
Apply referential transparency to reason about code equivalence, referencing its mathematical origins and role in early functional languages.
3
Pure Functions: A Legacy of Immutability
Write pure functions that avoid side effects, tracing this concept from Lisp through modern functional languages.
Write pure functions that avoid side effects, tracing this concept from Lisp through modern functional languages.
4
Immutable Data Structures: A Cross-Language Design Analysis
Analyze design trade-offs of immutable data structures, comparing implementations in Clojure's persistent structures, Haskell's default immutability, and functional-style Python.
Analyze design trade-offs of immutable data structures, comparing implementations in Clojure's persistent structures, Haskell's default immutability, and functional-style Python.
5
The Evolution of First-Class Functions
Trace the historical development of first-class and higher-order functions from Lisp through modern languages.
Trace the historical development of first-class and higher-order functions from Lisp through modern languages.
6
Functional Programming: Benefits, Trade-offs, and Examples
Explain the benefits and trade-offs of functional programming using specific language examples (e.g., Haskell's type safety vs. Python's flexibility).
Explain the benefits and trade-offs of functional programming using specific language examples (e.g., Haskell's type safety vs. Python's flexibility).
Previous module
Next module
Recursion and Structural Thinking