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Purely functional data structures have persistence, a property of keeping previous versions of the data structure unmodified. In Clojure, persistent data structures are used as functional alternatives to their imperative counterparts. Persistent vectors, for example, use trees for partial updating.
Judicious application can reduce the cost of developing and maintaining software, while increasing its quality and reliability. [3] Callable units are present at multiple levels of abstraction in the programming environment. For example, a programmer may write a function in source code that is compiled to machine code that implements similar ...
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 ...
Dataflow programming languages rely on a (usually visual) representation of the flow of data to specify the program. Frequently used for reacting to discrete events or for processing streams of data. Examples of dataflow languages include:
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").
In functional programming, an applicative functor, or an applicative for short, is an intermediate structure between functors and monads. In Category Theory they are called Closed Monoidal Functors. Applicative functors allow for functorial computations to be sequenced (unlike plain functors), but don't allow using results from prior ...
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
The use of an initial value is necessary when the combining function f is asymmetrical in its types (e.g. a → b → b), i.e. when the type of its result is different from the type of the list's elements. Then an initial value must be used, with the same type as that of f 's result, for a linear chain of applications to be possible. Whether it ...