Validating phone number Hacker Rank Solution – Queslers

Problem : Validating phone number Hacker Rank Solution

Let’s dive into the interesting topic of regular expressions! You are given some input, and you are required to check whether they are valid mobile numbers.
A valid mobile number is a ten digit number starting with a 7, 8 or 9.
Concept :A valid mobile number is a ten digit number starting with a 7, 8 or 9.
Regular expressions are a key concept in any programming language. A quick explanation with Python examples is available here. You could also go through the link below to read more about regular expressions in Python.
https://developers.google.com/edu/python/regular-expressions


Input Format :

The first line contains an integer N, the number of inputs.
N lines follow, each containing some string.

Constraints :

  • 1 <= N <= 10
  • 2 <= len(number) <= 15

Output Format :

For every string listed, print “YES” if it is a valid mobile number and “NO” if it is not on separate lines. Do not print the quotes.


Sample Input :

2
9587456281
1252478965

Sample Output :

YES
NO

Validating phone number Hacker Rank Solution n python 2

import re
n = int(raw_input())
for x in range(0, n):
    if(re.match(r'^[7-9]{1}[0-9]{9}\n?\r?$', raw_input())):
        print "YES"
    else:
        print "NO"

Validating phone number Hacker Rank Solution n python 3

# Enter your code here. Read input from STDIN. Print output to STDOUT
import re
for _ in range(int(input())):
    if re.match(r'[789]\d{9}$',input()):   
        print('YES')  
    else:  
        print('NO')

Validating phone number Hacker Rank Solution n pypy

import re
n = int(raw_input())
for i in range(n):
    s = raw_input()
    print 'YES' if re.match(r'^[7-9]\d{9}$', s) else 'NO'

Validating phone number Hacker Rank Solution n pypy 3

# Enter your code here. Read input from STDIN. Print output to STDOUT
import re
N = int(input())
for _ in range(N):
    pattern = r'^[789]\d{9}$'
    print ( 'YES' if re.match(pattern,input()) else 'NO')
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This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.

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