Reference library

Python Code Samples

Easy snippets you can copy, study, and run in the browser editor.

121 matches
Automation & scripting easy

How to Find Stale GitHub Issues in Python

Filter a list of GitHub issues to find those not updated within a configurable number of days using Python datetime arithmetic.

github issues automation
Python
import os
from datetime import datetime, timezone, timedelta
import re

# Simulated GitHub issue data structure
SAMPLE_ISSUES = [
    {"number": 101, "title": "Login button not working", "updated_at": "2025-06-01T12:00:00Z", "assignee": "alice"},
    {"number": 102, "title": "Fix database migration error", "updated_at…
36 0 Open
Automation & scripting easy

How to Monitor Domain Expiration Dates in Python

A Python script that checks domain expiration dates using the python-whois library and warns when a domain is expiring soon.

whois domain automation
Python
import whois
from datetime import datetime, timedelta
import time

def check_domain_expiry(domain_name):
    """Check when a domain expires and warn if soon."""
    try:
        w = whois.whois(domain_name)
        expiry = w.expiration_date
        # Handle list or single date
        if isinstance(expiry, list):
   …
36 0 Open
Automation & scripting easy

How to Update a Hosts File to Block Distractions in Python

This script updates a local hosts file (or a demo file) by adding or updating entries to block distracting websites like Facebook and Twitter.

hosts-file automation blocking
Python
from pathlib import Path

def update_hosts(entries):
    """
    Add or update blocking entries in the hosts file.
    Uses a local demo file by default to avoid system changes.
    """
    hosts_path = Path("demo_hosts.txt")
    
    # Create demo file if it doesn't exist
    if not hosts_path.exists():
        hosts…
11 0 Open
Automation & scripting easy

How to Write an IP Block List to hosts.deny in Python

This Python script validates a list of IP addresses and CIDR ranges, then writes them to a hosts.deny file to block connections at the TCP wrapper level.

hosts.deny ip-block ipaddress
Python
from ipaddress import ip_network

def write_hosts_deny(ip_list, output_file="hosts.deny"):
    with open(output_file, "w") as f:
        for ip in ip_list:
            try:
                ip_network(ip)
                f.write(f"ALL: {ip}\n")
            except ValueError:
                continue
    print(f"Written…
14 0 Open
Automation & scripting easy

How to validate argparse CLI commands in Python

Build a beginner-friendly command-line argument parser with argparse, including required and optional arguments, plus simple validation for age.

argparse cli validation
Python
import argparse


def main():
    parser = argparse.ArgumentParser(description="Validate CLI arguments for beginners.")
    parser.add_argument("name", type=str, help="Your name.")
    parser.add_argument("--age", type=int, default=None, help="Your age (optional).")
    parser.add_argument("--verbose", action="store_t…
13 0 Open
Automation & scripting easy

Parse WHOIS Data with Python Regex

Extract domain registration fields from a mock WHOIS record using regex and compute days until expiration.

whois regex parsing
Python
import re
from datetime import datetime


def parse_whois(whois_text: str) -> dict:
    """Extract key registration fields from a mock WHOIS record."""
    patterns = {
        "domain": r"Domain Name:\s*(.+)",
        "registrar": r"Registrar:\s*(.+)",
        "creation_date": r"Creation Date:\s*(.+)",
        "expir…
12 0 Open
Automation & scripting easy

Parse cron expression and compute next run datetime in Python

Parse a 5-field cron expression and compute the next matching datetime starting from a given base time.

cron datetime scheduling
Python
from datetime import datetime, timedelta
import re

def parse_cron_and_next_run(cron_expr, base_time=None):
    """Parse a cron expression and compute the next run time."""
    if base_time is None:
        base_time = datetime.now().replace(second=0, microsecond=0)

    fields = cron_expr.split()
    if len(fields) !…
11 0 Open
Automation & scripting easy

Resize Disk Partitions in Python (Mock Script)

A mock disk partition resize script that uses dataclasses to model partitions, validate new sizes, and output the updated layout as JSON.

disk partition dataclass
Python
#!/usr/bin/env python3
"""Mock script to demonstrate disk partition resize logic."""
import json
from dataclasses import dataclass
from typing import Dict


@dataclass
class Partition:
    name: str
    size_gb: int
    mount_point: str

    def to_dict(self) -> Dict[str, object]:
        return {
            "name": …
16 0 Open
Automation & scripting easy

Restrict Secrets File Permissions with the chmod Script in Python

This script restricts a secrets file to 0600 permissions, rotates it to a dated backup, and creates a fresh protected file for secure automation workflows.

chmod permissions secrets
Python
import os
import sys
import stat
from pathlib import Path

def restrict_secrets_file(filepath: str) -> None:
    """Set restrictive permissions (0600) on a secrets file."""
    path = Path(filepath).expanduser()
    
    if not path.is_file():
        raise FileNotFoundError(f"Secrets file not found: {path}")
    
   …
13 0 Open
Data pipelines & processing easy

Generate a Mock CDC Changelog in Python

Simulate a CDC changelog with INSERT, UPDATE, and DELETE operations, timestamps, and record snapshots for testing data pipelines.

cdc changelog mock-data
Python
import json
from datetime import datetime, timedelta


def generate_mock_changelog(records, operations=("INSERT", "UPDATE", "DELETE")):
    """Simulate a CDC changelog from a list of record snapshots."""
    base_time = datetime(2025, 1, 1, 8, 0, 0)
    changelog = []
    for idx, record in enumerate(records):
       …
15 0 Open
Data pipelines & processing easy

Group Python Events into Sessions with a Gap Timeout

Groups timestamped events into sessions, starting a new session when the time gap exceeds a specified timeout.

sessions grouping datetime
Python
from itertools import groupby
from datetime import datetime, timedelta

def session_window_group(events, gap_seconds=300):
    """Group events into sessions where gap > gap_seconds starts a new session."""
    if not events:
        return []
    
    events = sorted(events, key=lambda x: x[0])
    sessions = []
    c…
14 0 Open
Data pipelines & processing easy

How to Convert Data Types in a Python Data Pipeline

Demonstrates a simple Python data pipeline that converts string values to proper types (bool, int, float, datetime) and outputs structured JSON.

data-pipeline type-conversion json
Python
import json
from datetime import datetime

def convert_value(value):
    """Convert string values to appropriate Python types."""
    if value.lower() == "true":
        return True
    if value.lower() == "false":
        return False
    if value.isdigit():
        return int(value)
    try:
        return float(val…
12 0 Open
Data pipelines & processing easy

How to Implement Incremental Load with Watermark by updated_at in Python

Load only new or changed rows into SQLite by comparing an updated_at timestamp against a stored watermark, returning counts and the new watermark.

incremental-load watermark sqlite
Python
import sqlite3
from datetime import datetime, timedelta


def watermark_incremental_load(db_path, table_name, last_watermark, source_data):
    """Load only rows with updated_at greater than the last watermark."""
    conn = sqlite3.connect(db_path)
    cursor = conn.cursor()

    # Create table if it doesn't exist
  …
12 0 Open
Data pipelines & processing easy

How to Parse Data in Python: A Beginner's Helper

This helper parses a JSON payload, extracts user names, emails, and signup dates, then summarizes the results.

json parsing data-processing
Python
import json
from datetime import datetime
from typing import Dict, List


def parse_data(payload: str) -> Dict[str, List]:
    """Parse a JSON payload and extract useful fields."""
    raw = json.loads(payload)
    users = raw.get("users", [])

    parsed = {
        "names": [],
        "emails": [],
        "signup_…
15 0 Open
Data pipelines & processing easy

How to Partition Output Files by Date Key in Python

Group output files into a dictionary partitioned by a YYYYMMDD date key extracted from the filename prefix.

file-partitioning date-key pathlib
Python
from pathlib import Path
from collections import defaultdict

def partition_files_by_date(directory: str) -> dict:
    """Partition output files by date key extracted from filename (YYYYMMDD prefix)."""
    path = Path(directory)
    partitions = defaultdict(list)
    
    for file in path.iterdir():
        if file.i…
14 0 Open
Data pipelines & processing easy

How to Validate Data in a Python Pipeline

A helper module to validate common record types — email, positive integer, and non-empty string list — before processing data in a pipeline.

data-validation pipelines type-checking
Python
from typing import Any, Iterable


def is_valid_email(email: str) -> bool:
    """Basic email check: one '@', no spaces, dot after '@'."""
    if "@" not in email or " " in email:
        return False
    local, _, domain = email.partition("@")
    return bool(local) and "." in domain


def is_positive_int(value: Any)…
12 0 Open
Data pipelines & processing easy

How to create a dated snapshot path for a dataset in Python

Generate a versioned directory path combining a base directory, dataset name, and today's date, ready for creating snapshots in data pipelines.

date pathlib datasets
Python
import datetime
import os
from pathlib import Path


def snapshot_path(base_dir: str, dataset_name: str) -> Path:
    """Return a dated snapshot path for a dataset under a base directory."""
    today = datetime.date.today().isoformat()
    return Path(base_dir) / dataset_name / today


if __name__ == "__main__":
    …
15 0 Open
Data pipelines & processing easy

Idempotent Pipeline Dedupe by Record ID Set in Python

Filters records against a persistent set of seen IDs, returning only new ones and the updated set for idempotent pipeline processing.

deduplication idempotency pipelines
Python
def dedupe_records(records, seen_ids=None):
    """Return records whose id has not been seen before."""
    if seen_ids is None:
        seen_ids = set()
    unique = []
    for record in records:
        record_id = record.get("id")
        if record_id not in seen_ids:
            seen_ids.add(record_id)
           …
12 0 Open
Data pipelines & processing easy

Rollback dataset to previous snapshot pointer in Python

A SnapshotManager class stores timestamped data snapshots and rolls back to the most recent snapshot at or before a target time.

snapshots rollback datetime
Python
from datetime import datetime, timedelta


class SnapshotManager:
    def __init__(self):
        self.snapshots = {}  # timestamp -> data
        self.current_pointer = None

    def create_snapshot(self, data):
        timestamp = datetime.now()
        self.snapshots[timestamp] = data
        self.current_pointer =…
13 0 Open
Data pipelines & processing easy

Validate dict schema at pipeline boundary in Python

This code validates a dictionary against a TypedDict schema at a pipeline boundary, enforcing required fields and types with custom error messages.

validation dict typeddict
Python
from typing import Any, TypedDict


class Person(TypedDict):
    name: str
    age: int
    email: str


def validate_person(data: dict[str, Any]) -> Person:
    errors: list[str] = []

    if not isinstance(data.get("name"), str) or not data["name"].strip():
        errors.append("name must be a non-empty string")
  …
13 0 Open
Git + Python easy

Amend Last Commit Message in Python

This script uses subprocess to run `git commit --amend` and update the most recent commit's message in your repository.

git subprocess automation
Python
import subprocess
import sys


def amend_last_commit_message(new_message: str) -> None:
    """Change the message of the most recent commit."""
    result = subprocess.run(
        ["git", "commit", "--amend", "-m", new_message],
        capture_output=True,
        text=True,
        check=False,
    )
    if result.…
15 0 Open
Git + Python easy

How to Mock subprocess.run in Python Tests

Mock subprocess.run to test a Git submodule update command without executing it in your test suite.

unittest.mock subprocess git
Python
import subprocess
from unittest.mock import Mock, patch

def update_submodules():
    subprocess.run(["git", "submodule", "update", "--init", "--recursive"], check=True)

with patch("subprocess.run") as mock_run:
    mock_run.return_value = Mock(returncode=0)
    update_submodules()
    mock_run.assert_called_once_wit…
13 0 Open
Cloud + Python easy

Generate an Idempotency-Key header mock with UUID in Python

This code provides a mock idempotency service that generates a UUID-based Idempotency-Key header token and validates it, useful for simulating production API behavior in tests.

uuid idempotency mock
Python
import uuid

class MockIdempotencyService:
    def __init__(self):
        self._tokens = {}

    def get_token(self, header_name="Idempotency-Key"):
        token = str(uuid.uuid4())
        self._tokens[header_name] = token
        return token

    def validate(self, header_name="Idempotency-Key"):
        return s…
11 0 Open
Cloud + Python easy

How to Validate AWS Security Group Ingress Rules in Python

Validates AWS security group ingress rules (protocol, port ranges, CIDR, description) and returns a list of errors or OK.

aws security-groups validation
Python
from dataclasses import dataclass
from typing import List, Optional

@dataclass
class SecurityGroupRule:
    protocol: str
    port_range: tuple
    cidr: str
    description: str = ""

def validate_ingress_rule(rule: SecurityGroupRule) -> List[str]:
    """Validate a security group ingress rule against common AWS pat…
11 0 Open

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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.