Regular expressions (Regex) are an extremely versatile tool for matching, searching, and manipulating text in Python. (using module re)

PythonRegex.py :

1. Validating Email Addresses
2. Extracting Phone Numbers
3. Parsing CSV Data
4. Extracting URLs
5. Finding Duplicate Words
6. Extracting Hashtags
7. Extracting IP Addresses

PythonRegexKaggle.py : (Kaggle Source)

1. Is string alphanumeric
2. Match string: has an 'a' followed by none or more 'b's
3. Match string: has an 'a' followed by one or more b's
4. Match string: has an 'a' followed by zero or one 'b's
5. Match string: has an 'a' followed by three 'b's
6. Match string: has an 'a' followed by two or three 'b's
7. Find sequences of: lowercase letters joined with a underscore
8. Find sequences of: one upper case letter followed by lower case letters
9. Match string: has an 'a' followed by anything, ending in 'b'
10. Match a word at: the beginning of a string
11. Match a word at: the end of string, with optional punctuation
12. Match a word containing: 'z'
13. Match a word containing: 'z', not at start or end of the word
14. Match string: has only: upper/lowercase letters, numbers, underscores
15. Match string: where it starts with a specific number
16. Remove leading zeros from IP address
17. Check for a number at the end of a string
18. Search in a string: numbers(0-9) of length between 1-3
19. Search: literal strings in a string
20. Search: literal strings in a string & its location