Regular Expressions Development Tutorials, Guides & Insights
Unlock 3+ expert-curated regular expressions tutorials, real-world code snippets, and modern dev strategies. From fundamentals to advanced topics, boost your regular expressions skills on DeveloperBreeze.
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Tutorial
python
Understanding Regular Expressions with `re` in Python
Sometimes, you may want to extract both integers and floating-point numbers from a mixed string of text.
import re
# Pattern to match integers and floating-point numbers
pattern = r"[+-]?\d+(\.\d+)?"
# Example text with both integers and floating-point numbers
text = "The values are -20, 15.75, +7, and 3.1415."
matches = re.findall(pattern, text)
print(matches) # Output: ['-20', '15.75', '+7', '3.1415']Oct 24, 2024
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python
Python Regular Expressions (Regex) Cheatsheet
email_pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
email = 'example@example.com'
if re.match(email_pattern, email):
print('Valid email')
else:
print('Invalid email')text = "Contact me at 123-456-7890 or 987.654.3210"
phone_pattern = r'\d{3}[-.]\d{3}[-.]\d{4}'
phones = re.findall(phone_pattern, text)
print(phones) # Output: ['123-456-7890', '987.654.3210']Aug 03, 2024
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javascript
Validate Password Strength
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Jan 26, 2024
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