What is functional programming?

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What is functional programming?

Functional programming (FP) is a programming paradigm for developing software using functions.Functional programming languages are specially designed to handle symbolic computation and list processing applications. Functional programming is based on mathematical functions.

What are the Characteristics of Functional Programming ?

Characteristics of Functional Programming are as follows
1.Functional programming method focuses on results, not the process
2.Emphasis is on what is to be computed
3.Data is immutable
4.Functional programming Decompose the problem into ‘functions
5.It is built on the concept of mathematical functions which uses conditional expressions and recursion to do 6.perform the calculation
7.It does not support iteration like loop statements and conditional statements like If-Else.

What are the benefits of functional programming

1.Allows you to avoid confusing problems and errors in the code
2.Easier to test and execute Unit testing and debug FP Code.
3.Parallel processing and concurrency
4.Hot code deployment and fault tolerance
5.Offers better modularity with a shorter code
6.Increased productivity of the developer
7.Supports Nested Functions
8.Functional Constructs like Lazy Map & Lists, etc.
9.Allows effective use of Lambda Calculus

What are the Limitations of Functional Programming

1.Functional programming paradigm is not easy, so it is difficult to understand for the beginner
2.Hard to maintain as many objects evolve during the coding
3.Needs lots of mocking and extensive environmental setup
4.Re-use is very complicated and needs constantly refactoring
5.Objects may not represent the problem correctly

Terminology and Concepts related to Functional Programming

what is functional programming
Terminology and Concepts related to Functional Programming

1.Immutable Data

Immutable Data means that you should easily able to create data structures instead of modifying ones which is already exist.

2.Referential transparency

Functional programs should perform operations just like as if it is for the first time. So, you will know what may or may not have happened during the program’s execution, and its side effects. In FP term it is called Referential transparency.

3.Modularity

Modular design increases productivity. Small modules can be coded quickly and have a greater chance of re-use which surely leads to faster development of programs. Apart from it, the modules can be tested separately which helps you to reduce the time spent on unit testing and debugging.

4.Maintainability

Maintainability is a simple term which means FP programming is easier to maintain as you don’t need to worry about accidentally changing anything outside the given function.

5.First-class function

‘First-class function’ is a definition, attributed to programming language entities that have no restriction on their use. Therefore, first-class functions can appear anywhere in the program.

6.Closure

The closure is an inner function which can access variables of parent function’s, even after the parent function has executed.

7.Higher-order functions

Higher-order functions either take other functions as arguments or return them as results.

Higher-order functions allow partial applications or currying. This technique applies a function to its arguments one at a time, as each application returning a new function which accepts the next argument.

8.Pure function

A ‘Pure function’ is a function whose inputs are declared as inputs and none of them should be hidden. The outputs are also declared as outputs.

Pure functions act on their parameters. It is not efficient if not returning anything. Moreover, it offers the same output for the given parameters

Example:

Function Pure(a,b)
{
	return a+b;
}

9.Impure functions

Impure functions exactly in the opposite of pure. They have hidden inputs or output; it is called impure. Impure functions cannot be used or tested in isolation as they have dependencies.

Example

int z;
function notPure(){
	z = z+10;
}

10.Function Composition

Function composition is combining 2 or more functions to make a new one.

11.Shared States

Shared states is an importance concept in OOP programming. Basically, It’s adding properties to objects. For example, if a HardDisk is an Object, Storage Capacity and Disk Size can be added as properties.

Side Effects

Side effects are any state changes that occur outside of a called function. The biggest goal of any FP programming language is to minimize side effects, by separating them from the rest of the software code. In FP programming It is vital to take away side effects from the rest of your programming logic.

12.Recursion

In the functional programming paradigm, there is no for and while loops. Instead, functional programming languages rely on recursion for iteration. Recursion is implemented using recursive functions, which repetitively call themselves until the base case is reached.

What are Functional Programming Languages

The objective of any FP language is to mimic the mathematical functions. However, the basic process of computation is different in functional programming.
Here, are some most prominent Functional programming languages:
1.Scala
2.Erlang
3.SQL
4.Haskell
5..SML
6.Clojure
7.Mathematica
8.Clean
9.F#
10.ML/OCaml Lisp / Scheme
11.XSLT

Functional Programming vs. Object-oriented Programming

Functional ProgrammingOOP
FP uses Immutable data.OOP uses Mutable data.
Follows Declarative Programming based Model.Follows Imperative Programming Model.
What it focuses is on: “What you are doing. in the programme.”What it focuses is on “How you are doing your programming.”
Supports Parallel Programming.No supports for Parallel Programming.
Its functions have no-side effects.Method can produce many side effects.
Flow Control is performed using function calls & function calls with recursion.Flow control process is conducted using loops and conditional statements.
Execution order of statements is not very important.Execution order of statements is important.
Supports both “Abstraction over Data” and “Abstraction over Behavior.”Supports only “Abstraction over Data”.
Functional Programming vs Object-oriented Programming

Let’s understand the functional programming with a video by Hitesh Choudhary Sir!

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