| >The core of Functional Programming is thinking about data-flow rather than control-flow That's not right. The difference between data and control flow oriented programming is the difference between laziness and eagerness. The difference between imperative and functional programming is largely one of abstraction, not a feature in itself. The genuine core feature of FP is the separation of data and methods, that stands in contrast not to imperative programming but object oriented programming, whose core feature is fusion of data and methods. Functional programming tries to address complexity by separation of concerns, pulling data and methods apart, OO tries to address complexity by encapsulation, pulling data and methods into purely local contexts. This is also where the association between FP and static typing comes from that the post briefly mentions. Pulling data and functionality aside lends itself to programming in a global, sort of pipe based way where types act like a contract between different interacting parts, whereas the information hiding of OO lends itself to late binding and dynamic programming, taken to its most extreme version in say, Smalltalk. |
ML, one of the standard-bearing functional programming languages, is at least partially defined by its powerful module system. And an ML module serves a similar sort of encapsulatory purpose as the class does, often binding together a type and functions that operate on it - the internals of the type sealed away such that only those functions can operate on that data.