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Functional programming is an active area of research in the field of programming language theory. There are several peer-reviewed publication venues focusing on functional programming, including the International Conference on Functional Programming, the Journal of Functional Programming, and the Symposium on Trends in Functional Programming.
The table shows a comparison of functional programming languages which compares various features and designs of different ... JavaScript: No [51] [unreliable source ...
Flapjax is a behavior–event FRP implementation in JavaScript. React is an OCaml module for functional reactive programming. Sodium is a push FRP implementation independent of a specific user interface (UI) framework for several languages, such as Java, TypeScript, and C#. [16]
In simple terms, functional programming is all about building functions for immutable variables. Not only are languages like Java or Python adopting more and more concepts from functional programming.
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 ...
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.
In functional programming, a monad is a structure that combines program fragments and wraps their return values in a type with additional computation. In addition to defining a wrapping monadic type, monads define two operators: one to wrap a value in the monad type, and another to compose together functions that output values of the monad type (these are known as monadic functions).