day 21 : understanding builtins model in python

Introduction:

Welcome to Day 21 of my Python journey!

Today, I ventured into the realm of builtins modules .

These concepts are very essential in python.

built-in functions

map : -

• . map is a predefined class in python belongs to builtins module

• . Syntax to create map object

• mapObj = map ( function , sequence/collection )

• . map is used to apply a specific function on each individual element avaliable in collection

• . to fetch the value from mapObject we have to implement type conversion mechanism

• print ( list ( mapObj ))

• Example :

def factorial ( no ) :
        fact = 1
        while no > 0 :
                fact = fact * no
                no = no - 1
        return fact

print ( factorial ( 5 ) )

collection = [ 1, 5, 3, 2, 4 ]
# i want to call factorial function for each individual element avaliable in
# collection 
mapObj = map ( factorial , collection )
print ( collection )
print ( list ( mapObj )  )

Example :

collection = [ 1, 2, 3, 4, 5 ]
print ( collection )
print ( list ( map ( lambda number : Even if number % 2 == 0 else  Odd , collection ) ) )

filter : -

• . filter is a predefined class avaliable in python belongs to builtins module

• . Syntax to crate the object of filter class,

• filterObj = filter ( function , collection/sequence/iterable )

• . filter is used to filter a collection as per the demand of a function .

• what the function we are going to use for filter that function must return True or False .

• if for an element the result is True that element will be selected .

• if the result is False then that element will be rejected

• . to get the values from filter object we have to implement type conversion mechanism

• print ( list ( filterObj ))

• example

collection = [ 1, 2, 3, 4, 5 ]

print ( collection )

print ( list ( map ( lambda number : True if number % 2 == 0 else  False ,collection ) ) )

print ( list ( filter ( lambda number : True if number % 2 == 0 else  False ,collection ) ) )

reduce : -

. reduce is a predefined function in python belongs to functools module

. from functools import reduce # compulsory

. to call reduce function param are reduce ( function , sequence/collection/iterable )

example

from functools import reduce

max = lambda x, y : x if x > y else y

collection = [ 1, 3, 2, 5, 4 ]

print ( reduce ( max , collection ) )
print ( reduce ( lambda x, y : x if x > y else y , collection )

Challenges :

1. Understanding builtin modules.

2. Handling errors.

Resources :

1. Official Python Documentation: Functions

2. W3Schools' Python Tutorial: Functions

3. Scaler's Python Course: Functions

Goals for Tomorrow :

1. Explore something more on artguments.

2. that is command line arguments .

Conclusion :

Day 20’s a success!

What are your favorite Python resources? Share in the comments below.

Connect with me :

GitHub: [ https://github.com/p-archana1 ]

LinkedIn : [ linkedin.com/in/archana-prusty-4aa0b827a ]

Join the conversation :

Share your own learning experiences or ask questions in the comments.

HAPPY LEARNING!!

THANK YOU!!