The current “king of the hill” is object orientation, typically in the Java language. This programming paradigm has three major ideas: encapsulation, inheritance, and polymorphism.
You could actually say that prototype languages are a subset of object- oriented languages,
Your examples were often shorter and simpler than the object-oriented counterparts because you had a broader range of tools for composing programs than you did in the object-oriented paradigm.
With pure functional languages, we could not build programs with mutable state. Instead, we built monads that let us compose functions in a way that helped us structure problems as if they allowed mutable state. Haskell has do notation, supported by monads, to solve this problem.
We used the List monad to compute a Cartesian product and unlock a combination
-module(translate_service).
-export([loop/0, translate/2]).
loop() ->
receive
end.
{From, "casa"} -> From ! "house",
loop();
{From, "blanca"} -> From ! "white",
loop();
{From, _} ->
From ! "I don't understand.", loop()
translate(To, Word) -> To ! {self(), Word}, receive
Translation -> Translation end.
The pattern match allows the programmer to quickly pick out the important pieces of the message without requiring any parsing from the programmer.
We learned that unification makes this program so powerful because it could work in three ways: testing truth, matching the left side, or matching the right side.
The current “king of the hill” is object orientation, typically in the Java language. This programming paradigm has three major ideas: encapsulation, inheritance, and polymorphism.
You could actually say that prototype languages are a subset of object- oriented languages,
Your examples were often shorter and simpler than the object-oriented counterparts because you had a broader range of tools for composing programs than you did in the object-oriented paradigm.
With pure functional languages, we could not build programs with mutable state. Instead, we built monads that let us compose functions in a way that helped us structure problems as if they allowed mutable state. Haskell has do notation, supported by monads, to solve this problem.
We used the List monad to compute a Cartesian product and unlock a combination
The pattern match allows the programmer to quickly pick out the important pieces of the message without requiring any parsing from the programmer.
We learned that unification makes this program so powerful because it could work in three ways: testing truth, matching the left side, or matching the right side.