# Validating phone number in Python HackerRank Solution

Hello coders, In this post, you will learn how to solve Validating phone number in Python HackerRank Solution. This problem is a part of the Python Hacker Rank series.

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## Validating phone number in Python HackerRank Solution

### problem

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.

#### 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.

```2
9587456281
1252478965
```

```YES
NO
```

### Validating phone number in Python HackerRank Solution

```import re
N = int(input())
for i in range(N):
number = input()
if(len(number)==10 and number.isdigit()):
output = re.findall(r"^[789]\d{9}\$",number)
if(len(output)==1):
print("YES")
else:
print("NO")
else:
print("NO")```

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### FAQ:

#### Does HackerRank have Python?

HackerRank’s programming challenges can be solved in a variety of programming languages (including Java, C++, PHP, Python, SQL, JavaScript) and span multiple computer science domains.

#### Where can I practice Python coding?

• HackerRank is a great site for practice that’s also interactive.

#### Where can I find HackerRank solutions in Python?

in this post, you will get all the solutions to HackerRank Python Problems.

#### Is possible HackerRank Solution in Python?

HackerRank’s programming challenges can be solved in a variety of programming languages (including Java, C++, PHP, Python, SQL, and JavaScript) and span multiple computer science domains. When a programmer submits a solution to a programming challenge, their submission is scored on the accuracy of their output.

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