I see that some people are saying that functional programming is more powerful than OOP. I disagree with that.
I do not think one is less than the other. Actually there is a mathematical argument why one is not less than the other. To me functional programming is "what does what I'm trying to describe do?". In object oriented programming it's "what are the properties of the thing I'm trying to describe?". In functional programming I describe the interactions directly and in OOP the interactions come about from how I have described the objects. Done properly, they are both about interactions, it is just a difference of what you focus on.
It has been shown that classes of OOP can be modelled for the most part as co-algebras. This means that objects are a mathematical dual to algebraic types of functional programming. The reason why functional programming is important is that some things are easier to express in a dual space. This means that many things that are hard in OOP are trivial in functional languages. But the reverse is also true. This is why it is important to not drop one for the other.
The real advantage IMO in functional programming is that these languages tend to be developed with stronger mathematical foundations. Hence programming in them tends to encourage people to be principled and rigorous (at least in theory). It is very likely that if you study the subject you will naturally come to be interested in why monads are only one particular type of functor, that polymorphic functions are well described as natural transformations or try to wrap your head around mechanically generating dynamic algorithms in terms of hylomorphisms. The more mathematical nature also makes it less magical and rickety to the self taught programmer (such as myself). That I think is the real advantage. But there is nothing inherent in OOP that stops it from also being built from more rigorous foundations. Such things will come to matter more with increasing concerns in security.
I think functional programmers sleep on the power of coalgebras. In fact his example of google map reduce is completely ignorant of the fact that the real hero in MapReduce tm is unfold not reduce.
I have a pet theory that the fact that algorithms are written in dual styles is why experienced OOP people find functional programming so hard. They literally have to reverse their style of thinking. This takes a lot of energy. Just because it takes place in your head doesn't make it any less physical than trying to roll a boulder uphill or get a wagon wheel out of a rut.
i think the root problem here is out-of-band -- expertly written OO models are fine. the problem is that i've never encountered an expertly written OO system, which is probably because OO allows you to get lazy, where functional patterns require thought and understanding. i'm gradually starting to suspect that an expertly written OO system actually kinda looks like a functional system, except with practical compromises with respect to functional purity.
> The more mathematical nature also makes it less magical and rickety to the self taught programmer (such as myself). That I think is the real advantage. But there is nothing inherent in OOP that stops it from also being built from more rigorous foundations.
I feel that OO the paradigm is rickety, a marrying of ad hoc semantics and syntactic sugar, and that it is inherently limited.
I do not think one is less than the other. Actually there is a mathematical argument why one is not less than the other. To me functional programming is "what does what I'm trying to describe do?". In object oriented programming it's "what are the properties of the thing I'm trying to describe?". In functional programming I describe the interactions directly and in OOP the interactions come about from how I have described the objects. Done properly, they are both about interactions, it is just a difference of what you focus on.
It has been shown that classes of OOP can be modelled for the most part as co-algebras. This means that objects are a mathematical dual to algebraic types of functional programming. The reason why functional programming is important is that some things are easier to express in a dual space. This means that many things that are hard in OOP are trivial in functional languages. But the reverse is also true. This is why it is important to not drop one for the other.
The real advantage IMO in functional programming is that these languages tend to be developed with stronger mathematical foundations. Hence programming in them tends to encourage people to be principled and rigorous (at least in theory). It is very likely that if you study the subject you will naturally come to be interested in why monads are only one particular type of functor, that polymorphic functions are well described as natural transformations or try to wrap your head around mechanically generating dynamic algorithms in terms of hylomorphisms. The more mathematical nature also makes it less magical and rickety to the self taught programmer (such as myself). That I think is the real advantage. But there is nothing inherent in OOP that stops it from also being built from more rigorous foundations. Such things will come to matter more with increasing concerns in security.
I think functional programmers sleep on the power of coalgebras. In fact his example of google map reduce is completely ignorant of the fact that the real hero in MapReduce tm is unfold not reduce.
I have a pet theory that the fact that algorithms are written in dual styles is why experienced OOP people find functional programming so hard. They literally have to reverse their style of thinking. This takes a lot of energy. Just because it takes place in your head doesn't make it any less physical than trying to roll a boulder uphill or get a wagon wheel out of a rut.
http://www.cs.ru.nl/E.Poll/papers/durham97.pdf