Functional Programming is a programming paradigm that emphasizes on the use of functions where each function performs a specific task. Fundamental elements used are variables and functions. In functional programming, a program consists of the entire evaluation of pure functions. The functional programming is useful if a function in a given programming language has two abilities:

1. To take another function as an argument.

2. To return another function to its caller.

Applying a function to an iterable with map():

The map() function takes which two inputs as a function and an iterable object. The function that given to map() is a normal function, and iterate over all the values present in the iterable object given. Python map() function is a built-in function and can also be used with other built-in functions available in Python.

Selecting elements from an iterable with filter():

The filter() function, filters the given sequence with the help of function and tests each element in the sequence to be true or not. It takes function and an iterable as arguments. The filter() invoke the function on each element of the iterable, and return a new iterable composed of only those elements for the function returned true.

Reducing an iterable to single value with reduce():

The reduce() function that facilitates a functional approach to python programming. Reduce() performs a rolling-computation as specified by the passed function to the neighboring elements, by taking a function and an iterable as arguments, and returns the final computed value.

Functional programming is the primary method of computation and evaluation of pure functions. Although, it’s good to be familiar with map(), filter() and reduce() because we can help you write concise, high-level, parallelizable code. There are various privileges to you learn python. Moreover, we provide python developer training making our institute best for python training in Kerala and real-time working environment to make candidate expert in python coding.

Author: STEPS