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Untold Story || Functional Programming || JavaScript || 🚀🚀 #javascript

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Functional programming is a programming paradigm that treats computation as the evaluation of mathematical functions and avoids changing state and mutable data. It is a declarative style of programming that focuses on expressing what the program should accomplish rather than describing how to achieve it. Here are some key concepts and principles associated with functional programming:
Immutability:
In functional programming, data is immutable, meaning that once it is created, it cannot be changed. Any operation that appears to modify the data actually creates a new copy.
First-Class and Higher-Order Functions:
Functions are treated as first-class citizens, meaning they can be assigned to variables, passed as arguments to other functions, and returned as values from other functions.
Higher-order functions take one or more functions as arguments or return a function as a result.
Pure Functions:
Pure functions are functions that, given the same input, will always return the same output and have no side effects. They do not depend on external state and do not modify state.
Referential Transparency:
The concept that an expression can be replaced with its value without changing the program's behavior. This is closely related to the idea of pure functions.
Avoidance of Side Effects:
Functional programming aims to minimize side effects, which are changes to state that are observable outside the function. This makes programs more predictable and easier to reason about.
Recursion:
Iteration is often replaced with recursion in functional programming. Functions are designed to call themselves with different arguments until a base case is reached.
Functional Composition:
Combining small, focused functions to create more complex functionality. This is achieved through function composition, where the output of one function is used as the input to another.
Lazy Evaluation:
Delaying the evaluation of an expression until its value is actually needed. This can improve performance and allows working with potentially infinite data structures.
Declarative Style:
Emphasizes what should be achieved rather than how to achieve it. This contrasts with imperative programming, which focuses on describing step-by-step procedures.
Popular programming languages that support functional programming concepts include:
Haskell
Scala
Clojure
F#
JavaScript (which has functional programming features, especially with ES6 and later)
While functional programming has its benefits, it's important to note that many languages support a combination of both functional and imperative programming styles, and the choice between them often depends on the specific requirements of a given task.
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Immutability:
In functional programming, data is immutable, meaning that once it is created, it cannot be changed. Any operation that appears to modify the data actually creates a new copy.
First-Class and Higher-Order Functions:
Functions are treated as first-class citizens, meaning they can be assigned to variables, passed as arguments to other functions, and returned as values from other functions.
Higher-order functions take one or more functions as arguments or return a function as a result.
Pure Functions:
Pure functions are functions that, given the same input, will always return the same output and have no side effects. They do not depend on external state and do not modify state.
Referential Transparency:
The concept that an expression can be replaced with its value without changing the program's behavior. This is closely related to the idea of pure functions.
Avoidance of Side Effects:
Functional programming aims to minimize side effects, which are changes to state that are observable outside the function. This makes programs more predictable and easier to reason about.
Recursion:
Iteration is often replaced with recursion in functional programming. Functions are designed to call themselves with different arguments until a base case is reached.
Functional Composition:
Combining small, focused functions to create more complex functionality. This is achieved through function composition, where the output of one function is used as the input to another.
Lazy Evaluation:
Delaying the evaluation of an expression until its value is actually needed. This can improve performance and allows working with potentially infinite data structures.
Declarative Style:
Emphasizes what should be achieved rather than how to achieve it. This contrasts with imperative programming, which focuses on describing step-by-step procedures.
Popular programming languages that support functional programming concepts include:
Haskell
Scala
Clojure
F#
JavaScript (which has functional programming features, especially with ES6 and later)
While functional programming has its benefits, it's important to note that many languages support a combination of both functional and imperative programming styles, and the choice between them often depends on the specific requirements of a given task.
@coderbaniya-
links:-
INSTAGRAM:- 👇
FACEBOOK:-👇
LINKEDIN:- 👇
WHATS-APP:-👇