In computer science, functional programming is a programming paradigm where programs are constructed by applying and composing functions.
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In computer science, functional programming is a programming paradigm where programs are constructed by applying and composing functions.
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Functional programming has its roots in academia, evolving from the lambda calculus, a formal system of computation based only on functions.
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Functional programming defines functional programs as being built up in a hierarchical way by means of "combining forms" that allow an "algebra of programs"; in modern language, this means that functional programs follow the principle of compositionality.
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Functional programming programs do not have assignment statements, that is, the value of a variable in a functional program never changes once defined.
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Pure functional programming completely prevents side-effects and provides referential transparency.
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Functional programming languages are typically less efficient in their use of CPU and memory than imperative languages such as C and Pascal.
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Similarly, the idea of immutable data from functional programming is often included in imperative programming languages, for example the tuple in Python, which is an immutable array, and Object.
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Functional programming is an active area of research in the field of programming language theory.
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Functional programming has been employed in a wide range of industrial applications.
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Functional programming "platforms" have been popular in finance for risk analytics.
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Outside of computer science, functional programming is used to teach problem-solving, algebraic and geometric concepts.
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