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Functional programming is very different from imperative programming. The most significant differences stem from the fact that functional programming avoids side effects, which are used in imperative programming to implement state and I/O. Pure functional programming completely prevents side-effects and provides referential transparency.
In a purely functional language, the only dependencies between computations are data dependencies, and computations are deterministic. Therefore, to program in parallel, the programmer need only specify the pieces that should be computed in parallel, and the runtime can handle all other details such as distributing tasks to processors, managing synchronization and communication, and collecting ...
Functional programming languages define programs and subroutines as mathematical functions and treat them as first-class. Many so-called functional languages are "impure", containing imperative features. Many functional languages are tied to mathematical calculation tools. Functional languages include:
Decomposing a complex programming task into simpler steps: this is one of the two main tools of structured programming, along with data structures; Reducing duplicate code within a program; Enabling reuse of code across multiple programs; Dividing a large programming task among various programmers or various stages of a project
FP (short for functional programming) [2] is a programming language created by John Backus to support the function-level programming [2] paradigm. It allows building programs from a set of generally useful primitives and avoiding named variables (a style also called tacit programming or "point free").
Programming paradigm; Declarative programming; Programs as mathematical objects; Function-level programming; Purely functional programming; Total functional programming; Lambda programming; Static scoping; Higher-order function; Referential transparency
In functional programming, fold (also termed reduce, accumulate, aggregate, compress, or inject) refers to a family of higher-order functions that analyze a recursive data structure and through use of a given combining operation, recombine the results of recursively processing its constituent parts, building up a return value.
Main menu. Main menu. move to sidebar hide. ... The table shows a comparison of functional programming languages which compares various features and designs of ...