functional programming - traducción al árabe
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functional programming - traducción al árabe

PROGRAMMING PARADIGM
Functional programming language; Functional language; Functional program; Functional (programming); Functional languages; Functional programming languages; Functional Programming; Functionalprogramming; Functional computing language; Enigmatic programming; Functional Language; Functional paradigm; Comparison of imperative programming and functional programming; History of functional programming; Type systems in functional programming languages

functional programming         
برمجة وظيفية
Functional analysis         
BRANCH OF MATHEMATICAL ANALYSIS CONCERNED WITH INFINITE-DIMENSIONAL TOPOLOGICAL VECTOR SPACES, OFTEN SPACES OF FUNCTIONS
Functional Analysis; Soft analysis; Functional analyst; Infinitely dimensional analysis; Infinite dimensional analysis; Infinite-dimensional analysis
تحليل الوظائف
systems programming         
PROGRAMMING THAT AIMS TO PRODUCE SOFTWARE WHICH PROVIDES SERVICES TO THE COMPUTER HARDWARE
System programming; Systems (programming); System (programming); Systems programmer; System Programmer; System language; Sysprog
برمجة النظم

Definición

functional programming
<programming> (FP) A program in a functional language consists of a set of (possibly recursive) function definitions and an expression whose value is output as the program's result. Functional languages are one kind of declarative language. They are mostly based on the typed lambda-calculus with constants. There are no side-effects to expression evaluation so an expression, e.g. a function applied to certain arguments, will always evaluate to the same value (if its evaluation terminates). Furthermore, an expression can always be replaced by its value without changing the overall result (referential transparency). The order of evaluation of subexpressions is determined by the language's evaluation strategy. In a strict (call-by-value) language this will specify that arguments are evaluated before applying a function whereas in a non-strict (call-by-name) language arguments are passed unevaluated. Programs written in a functional language are generally compact and elegant, but have tended, until recently, to run slowly and require a lot of memory. Examples of purely functional languages are Clean, FP, Haskell, Hope, Joy, LML, Miranda, and SML. Many other languages such as Lisp have a subset which is purely functional but also contain non-functional constructs. See also lazy evaluation, reduction. {Lecture notes (ftp://ftp.cs.olemiss.edu/pub/tech-reports/umcis-1995-01.ps)}. or the same {in dvi-format (ftp://ftp.cs.olemiss.edu/pub/tech-reports/umcis-1995-01.dvi)}. {FAQ (http://cs.nott.ac.uk/Department/Staff/gmh/faq.html)}. {SEL-HPC Article Archive (http://lpac.ac.uk/SEL-HPC/Articles/)}. (2003-03-25)

Wikipedia

Functional programming

In computer science, functional programming is a programming paradigm where programs are constructed by applying and composing functions. It is a declarative programming paradigm in which function definitions are trees of expressions that map values to other values, rather than a sequence of imperative statements which update the running state of the program.

In functional programming, functions are treated as first-class citizens, meaning that they can be bound to names (including local identifiers), passed as arguments, and returned from other functions, just as any other data type can. This allows programs to be written in a declarative and composable style, where small functions are combined in a modular manner.

Functional programming is sometimes treated as synonymous with purely functional programming, a subset of functional programming which treats all functions as deterministic mathematical functions, or pure functions. When a pure function is called with some given arguments, it will always return the same result, and cannot be affected by any mutable state or other side effects. This is in contrast with impure procedures, common in imperative programming, which can have side effects (such as modifying the program's state or taking input from a user). Proponents of purely functional programming claim that by restricting side effects, programs can have fewer bugs, be easier to debug and test, and be more suited to formal verification.

Functional programming has its roots in academia, evolving from the lambda calculus, a formal system of computation based only on functions. Functional programming has historically been less popular than imperative programming, but many functional languages are seeing use today in industry and education, including Common Lisp, Scheme, Clojure, Wolfram Language, Racket, Erlang, Elixir, OCaml, Haskell, and F#. Functional programming is also key to some languages that have found success in specific domains, like JavaScript in the Web, R in statistics, J, K and Q in financial analysis, and XQuery/XSLT for XML. Domain-specific declarative languages like SQL and Lex/Yacc use some elements of functional programming, such as not allowing mutable values. In addition, many other programming languages support programming in a functional style or have implemented features from functional programming, such as C++11, C#, Kotlin, Perl, PHP, Python, Go, Rust, Raku, Scala, and Java (since Java 8).