# Program to check prime number in python

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Tags:- Python

# Python | Check whether the given number is a prime number or not

This is an example of how to check whether the given number is a prime number or not. It takes an input number from the user to check the prime number

n = int(input('enter no.:'))
flag = True

if n > 2:
for i in range(2, n):
if n%i == 0:
flag = False
break

if flag == True:
print(f'{n} is a prime number')
else:
print(f'{n} is not a prime number')
else:
print('number must be > 2')

Output for the above code:

>>>
====================== RESTART: E:\py\prime_no.py ======================
enter no.:5
5 is a prime number
>>>
====================== RESTART: E:\py\prime_no.py ======================
enter no.:8
8 is not a prime number
>>>
====================== RESTART: E:\py\prime_no.py ======================
enter no.:2
number must be > 2

# Python | Pass Statement

The pass statement is used as a placeholder for future code. It represents a null operation in Python. It is generally used for the purpose of filling up empty blocks of code which may execute during runtime but has yet to be written.

def myfunction():
pass

# Python | Generate random numbers

Python provides a module called random using which we can generate random numbers. e.g: print(random.random())

We have to import a random module and call the random() method as shown below:

 import random

print(random.random())

The random() method generates float values lying between 0 and 1 randomly.

To generate customized random numbers between specified ranges, we can use the randrange() method
Syntax: randrange(beginning, end, step)

import random

print(random.randrange(5,100,2))

# Python | Lambda function

A lambda function is a small anonymous function. This function can have any number of parameters but, can have just one statement.

Syntex:
lambda arguments : expression

a = lambda x,y : x+y

print(a(5, 6))

It also provides a nice way to write closures. With that power, you can do things like this.

def adder(x):
return lambda y: x + y

add5(1)    #6

As you can see from the snippet of Python, the function adder takes in an argument x and returns an anonymous function, or lambda, that takes another argument y. That anonymous function allows you to create functions from functions. This is a simple example, but it should convey the power lambdas and closures have.

# Python | swapcase() Function

It is a string's function that converts all uppercase characters into lowercase and vice versa. It automatically ignores all the non-alphabetic characters.

string = "IT IS IN LOWERCASE."

print(string.swapcase())  

# Python | strip() Function | Remove whitespaces from a string

To remove the whitespaces and trailing spaces from the string, Python provides a strip([str]) built-in function. This function returns a copy of the string after removing whitespaces if present. Otherwise returns the original string.

string = "  Python "

print(string.strip())  

# Python | enumerate() Function

The enumerate() function is used to iterate through the sequence and retrieve the index position and its corresponding value at the same time.

lst = ["A","B","C"]

print (list(enumerate(lst)))

#[(0, 'A'), (1, 'B'), (2, 'C')]

# Python | filter(), map(), and reduce() Functions

• filter()  function accepts two arguments, a function and an iterable, where each element of the iterable is filtered through the function to test if the item is accepted or not.
>>> set(filter(lambda x:x>4, range(7)))

# {5, 6}



• map() function calls the specified function for each item of an iterable and returns a list of result

>>> set(map(lambda x:x**3, range(7)))

# {0, 1, 64, 8, 216, 27, 125}

• reduce() function reduces a sequence pair-wise, repeatedly until we arrive at a single value..

>>> reduce(lambda x,y:y-x, [1,2,3,4,5])

# 3


Let’s understand this:

2-1=1
3-1=2
4-2=2
5-2=3

Hence, 3.

# Python | namedtuple

A namedtuple will let us access a tuple’s elements using a name/label. We use the function namedtuple() for this, and import it from collections.

>>> from collections import namedtuple

#format
>>> result=namedtuple('result','Physics Chemistry Maths')

#declaring the tuple
>>> Chris=result(Physics=86,Chemistry=92,Maths=80)

>>> Chris.Chemistry
# 92

# Write a code to add the values of same keys in two different dictionaries and return a new dictionary.

We can use the Counter method from the collections module

from collections import Counter

dict1 = {'a': 5, 'b': 3, 'c': 2}
dict2 = {'a': 2, 'b': 4, 'c': 3}

new_dict = Counter(dict1) + Counter(dict2)

print(new_dict)
# Print: Counter({'a': 7, 'b': 7, 'c': 5})

# Python In-place swapping of two numbers

Python | In-place swapping of two numbers

>>> a, b = 10, 20
>>> print(a, b)
10 20

>>> a, b = b, a
>>> print(a, b)
20 10


# Reversing a String in Python

Python | Reversing a String

>>> x = 'PythonWorld'
>>> print(x[: : -1])
dlroWnohtyP

# Python join all items of a list to convert into a single string

Python | Join all items of a list to convert into a single string

>>> x = ["Python", "Online", "Training"]
>>> print(" ".join(x))
Python Online Training

# python return multiple values from functions

Python | Return multiple values from functions

>>> def A():
return 2, 3, 4

>>> a, b, c = A()

>>> print(a, b, c)
2 3 4

# Python Print String N times

Python | Print String N times

>>> s = 'Python'
>>> n = 5

>>> print(s * n)
PythonPythonPythonPythonPython

# Python check the memory usage of an object

Python | Check the memory usage of  an object

>>> import sys
>>> x = 100

>>> print(sys.getsizeof(x))
28