A valid postal code P have to fullfil both below requirements: P must be a number in the ran * It must only consist of digits (-). import phonenumbers from phonenumbers import carrier from phonenumbers.phonenumberutil import number_type number = "+49 176 1234 5678" carrier._is_mobile(number_type(phonenumbers.parse(number))) Sample Input. Otherwise, print 'Invalid'. A valid credit card has the following characteristics: * It must start with a , or . ABCXYZ company has up to 100 employees. The first line will have an integer n denoting the number of entries in the phone book. To summarize, the artist has an original array brr, and he is transporting the numbers to other array arr. Sample Input. * It must NOT use any other separator like ' ' , '_', etc. CDXXI Sample Output. Missing numbers: {4, 6} Problem Statement: Let me try to simplify the problem a little first. Each query will contain a person's name. Weighted Uniform Strings.py . Validating and Parsing Email Addresses.py . Validating Postal Codes in Python - Hacker Rank Solution. Validating UID - Regex and Parsing - Python.py . Solutions in Python to problems and challenges on HackerRank.com - dstada/HackerRank.com. Each entry consists of two lines: a name and the corresponding phone number. December 17, 2020 Python. Contribute to srgnk/HackerRank development by creating an account on GitHub. I would recommend to use the phonenumbers package which is a python port of Google's libphonenumber which includes a data set of mobile carriers now:. A quick explanation with Python examples is available here. Validating phone numbers - Hacker Rank Solution Let's dive into the interesting topic of regular expressions! After these, there will be some queries. The next lines contain credit card numbers. The original problem is trying to handle phone number validation because it was trying to handle all the possible formatting options. Print 'Valid' if the credit card number is valid. Validating phone numbers - Python.py . Rather than try to solve all that, take the input and "pre-strip" it of all formatting fluff until you have just the "number". Constraints. 6 4123456789123456 5123-4567-8912-3456 61234-567-8912-3456 4123356789123456 5133-3367-8912-3456 5123 - 3567 - 8912 - 3456 Sample Output Read the queries until end-of-file. Hello, Rishabh here, this time I bring to you: Validating Credit Card Numbers. The company decides to create a unique identification number Do not print the quotes. ... Validating phone numbers: validating-the-phone-number.py: Regex and Parsing: Easy: Validating and Parsing Email Addresses: validating-named-email-addresses.py: Regex and Parsing: Easy: Hex Color Code: hex-color-code.py: ... Validating Credit Card Numbers - Python -Regex.py . You could also go through the link below to read more about regular expressions in Python. True References. Regular expressions are a key concept in any programming language. 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