Python Regular Expressions

Match, search, and extract text patterns using the re module.

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The re module provides regular expression matching operations. Key functions include re.search(), re.findall(), re.sub(), and re.match().

Key Takeaways: Python Regular Expressions

Mastering Python Regular Expressions helps you write clean and reliable Python code. Follow standard conventions, test edge cases, and keep logic simple. Try running the code example below and complete the exercises to build confidence.

Python Regular Expressions Code Example

Python

import re

text = "Contact support at info@codesintech.com or sales@codesintech.com"
emails = re.findall(r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}", text)

print("Found emails:", emails)

Output

Found emails: ['info@codesintech.com', 'sales@codesintech.com']

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Python Regular Expressions

💡 Key Takeaways: Python Regular Expressions

Python Regular Expressions Code Example

Key Takeaways: Python Regular Expressions