Regular Expressions Development Tutorials, Guides & Insights
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Understanding Regular Expressions with `re` in Python
We will break down how to write a regex pattern that matches numbers, including integers and floating-point numbers, with optional signs (+ or -). Then, we’ll provide multiple examples to show how it works in different scenarios.
[+-]?: Match an optional+or-sign.\d+: Match one or more digits.(\.\d+)?: Match an optional decimal point followed by one or more digits (for floating-point numbers).
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']Validate Password Strength
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