Strings & text
Format, split, join, parse, and clean text — everyday Python string patterns.
How to Detect Expired Domains Using Python
Parse a list of domain registration data and compare expiry dates to today to find expired domains.
import datetime
# List of test domains with fake registration and expiry dates
# Format: (domain, registration_date, expiry_date)
test_domains = [
('example.com', '2020-01-15', '2024-01-15'), # Expired
('google.com', '1997-09-15', '2026-09-15'), # Still active
('test-site.org', '2019-06-01', '2023-06-0…How to Validate Text Input in Python: A Simple Text Processor
A Python function that validates a text string by trimming whitespace, then returns a dictionary with character, word, and sentence counts.
def validate_text(text: str) -> dict:
"""Analyze a text string and return basic validation statistics."""
stripped = text.strip()
if not stripped:
return {
"valid": False,
"reason": "Text is empty or only whitespace",
"characters": 0,
"words": 0,
…How to Validate Text Strings in Python
Validate strings with a reusable helper that checks type, length limits, and empty string handling.
def is_valid_text(value, min_length=1, max_length=None, allow_empty=False):
"""
Validate if a value is a string and meets length requirements.
Args:
value: The value to validate
min_length: Minimum allowed length (default 1)
max_length: Maximum allowed length (None = no limit)
…Validate email format with regex in Python
A Python function using a regex pattern to validate simple email formats, returning True or False for each input.
import re
def is_valid_email(email):
pattern = r'^[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}$'
return bool(re.match(pattern, email))
if __name__ == "__main__":
test_emails = [
"user@example.com",
"first.last@sub.domain.org",
"invalid-email",
"user@.com",
"user@…Browse by section
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Strings & text — Python code examples
What you will find here
This page collects strings & text snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.
Samples vs tutorials and challenges
Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.