π Regex Day 1: Masking secret numbers
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Welcome back to Pandas Daily! Your daily 5-minute boost to becoming confident in Python. β Ever wondered how websites or apps identify a valid phone or email. Or mask sensitive info like SSN, passwords. All this runs on regular expressions (regex) - patterns that describe text. In Python, we use re module to search, extract, split and replace these patterns with ease. β π Basics - Import/Load the module
In:
import re
Out:
β π§ Find if the word exists
In:
text = "I love Pandas Daily" print(bool(re.search("Pandas", text)))
Out:
True
β β οΈ Is the search case-sensitive? No wonder..
In:
text = "I love Pandas Daily" print(bool(re.search("pandas", text)))
Out:
False
β π When upper or lower case does not matter
In:
text = "I love Pandas Daily" print(bool(re.search("pandas", text, re.IGNORECASE)))
Out:
True
β π’ Pattern (\d+) represents all numbers
In:
text = "Invoice 2025 is $300, due in 7 days" print(re.findall(r"\d+", text))
Out:
['2025', '300', '7']
β βοΈ Extract phone number (format: xxx-xxx-xxxx) d{n} means pattern of n digits together
In:
text = "My number is 123-456-7890" print(re.findall(r"\d{3}-\d{3}-\d{4}", text))
Out:
['123-456-7890']
β πΊ Hide any sensitive info (ATM pins, SSN, passwords etc)
In:
text = "User pin is 4321" print(re.sub(r"\d+", "***", text))
Out:
User pin is ***
β βοΈ Coming up tomorrow - Extract emails!! Will use the below fundamental concept
In:
text = "Regex makes text easy!" print(re.findall(r"\w+", text))
Out:
['Regex', 'makes', 'text', 'easy']
βπ£ That's it for today! If you liked it, please share it with anyone who will find it useful and share your feedback below πΌ
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