Reference library

Python Code Samples

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

390 matches
Automation & scripting medium

How to Run Tesseract OCR from Python with subprocess

This script uses Python's subprocess module to invoke the Tesseract OCR engine from the command line and return the extracted text.

subprocess ocr tesseract
Python
import subprocess

def ocr_image(image_path):
    command = ["tesseract", image_path, "stdout"]
    result = subprocess.run(command, capture_output=True, text=True)
    return result.stdout.strip()

if __name__ == "__main__":
    # Stub: call the actual tesseract (must be installed)
    text = ocr_image("sample.png")
…
13 0 Open
Automation & scripting medium

How to Scan Configuration Files for Security Issues in Python

Automatically scan configuration files for common security mistakes using regex rules in Python.

security config regex
Python
import re
import os
from pathlib import Path

SECURITY_RULES = [
    (r'^#\s*INSECURE_', 'Insecure comment starts with # INSECURE_'),
    (r'password\s*=\s*("|\\\')?[^"\\\'"\s]+("|\\\')?$', 'Hardcoded password'),
    (r'debug\s*=\s*True', 'Debug mode enabled'),
    (r'[Pp]ermit[Rr]ootLogin\s+yes', 'PermitRootLogin ena…
49 0 Open
Automation & scripting medium

How to Scan Open Ports on a Host with Python

A Python function that uses socket.connect_ex to check for open TCP ports on a given host within a range and returns a list of open ports.

socket network port-scanning
Python
import socket

def scan_ports(host, start_port, end_port):
    open_ports = []
    for port in range(start_port, end_port + 1):
        sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        sock.settimeout(0.5)
        result = sock.connect_ex((host, port))
        if result == 0:
            open_ports.app…
42 0 Open
Automation & scripting medium

How to Send an Email with smtplib and a Mock Server in Python

Send an email using smtplib and verify it with a local aiosmtpd mock SMTP server — perfect for testing without a real mail server.

smtplib email aiosmtpd
Python
import smtplib
from email.message import EmailMessage
import aiosmtpd.controller as controller
import threading


def handle_message(server, session, envelope):
    print(f"Mock server received message:")
    print(f"From: {envelope.mail_from}")
    print(f"To: {envelope.rcpt_tos}")
    print(f"Subject: {envelope.cont…
12 0 Open
Automation & scripting medium

How to Sync Two Directories in Python (rsync-like)

Mirror a source directory into a destination by copying new or changed files and deleting extras, similar to rsync.

sync directory rsync
Python
import os
import shutil
import sys
from pathlib import Path

def sync_dirs(src: Path, dst: Path):
    """Mirror src into dst: copy new files, overwrite changed, delete extras."""
    dst.mkdir(parents=True, exist_ok=True)
    for dst_entry in dst.rglob('*'):
        rel = dst_entry.relative_to(dst)
        src_entry =…
14 0 Open
Automation & scripting medium

How to Track GitHub Stars, Forks, and Watchers in Python

Automatically fetch and track stars, forks, and watchers for multiple GitHub repositories, saving snapshots locally as JSON files for historical analysis.

github api automation
Python
import os
import time
import json
import requests
from pathlib import Path
from datetime import datetime

REPOS = [
    "psf/requests",
    "python/cpython",
    "pallets/flask",
]
DATA_DIR = Path("github_metrics")

def fetch_repo_stats(repo):
    url = f"https://api.github.com/repos/{repo}"
    resp = requests.get(ur…
39 0 Open
Automation & scripting medium

How to Validate SSL Certificates for Multiple Domains in Python

A Python utility that checks SSL certificate expiry dates for a list of domains using the standard library ssl and socket modules.

ssl certificate validation
Python
import ssl
import socket
from datetime import datetime

def check_ssl_certificate(hostname: str, port: int = 443) -> dict:
    """Validate SSL certificate for a given hostname."""
    context = ssl.create_default_context()
    with socket.create_connection((hostname, port), timeout=5) as sock:
        with context.wra…
45 0 Open
Automation & scripting medium

How to apply Kubernetes YAML files from a folder in Python

Uses the Kubernetes Python client to apply all YAML manifests in a directory, with sorted processing and per-file error handling.

kubernetes yaml automation
Python
import os
import yaml
from kubernetes import client, config
from kubernetes.utils import create_from_yaml

def apply_yaml_folder(folder_path):
    """Apply all YAML files in a folder using the Kubernetes mock client."""
    # Load mock configuration
    config.load_kube_config()
    k8s_client = client.ApiClient()

  …
12 0 Open
Automation & scripting medium

How to check Python files for common coding mistakes

Walks a directory tree parsing each .py file with ast, reporting empty functions, bare try blocks, too many parameters, and empty classes.

ast linting code-quality
Python
import ast
import os
import sys

def check_file(filepath):
    try:
        with open(filepath) as f:
            code = f.read()
        tree = ast.parse(code, filename=filepath)
    except SyntaxError as e:
        print(f"{filepath}: SyntaxError: {e.msg}")
        return
    
    issues = []
    for node in ast.wal…
43 0 Open
Data pipelines & processing medium

How to Count Events by Minute with a Tumbling Window in Python

Group timestamps into fixed 60-second tumbling windows and count events per bucket using a dict.

datetime grouping time-window
Python
from collections import defaultdict
from datetime import datetime, timedelta


def tumbling_window_count(events, window_seconds=60):
    buckets = defaultdict(int)
    for event in events:
        ts = datetime.fromisoformat(event["timestamp"])
        bucket_start = ts - timedelta(seconds=ts.second % window_seconds,
…
13 0 Open
Data pipelines & processing medium

How to Find Missing Values in Large Datasets in Python

Analyze missing values across multiple large pandas DataFrames with counts and percentages.

pandas missing-data data-cleaning
Python
import pandas as pd
import numpy as np

def find_missing_values_summary(datasets):
    """Analyze missing values across multiple datasets (dict of name: DataFrame)."""
    summary = {}
    for name, df in datasets.items():
        missing_count = df.isnull().sum()
        total_rows = len(df)
        missing_pct = (mi…
43 0 Open
Data pipelines & processing medium

How to Implement SCD Type 1 Overwrite in Python with SQLite

Implement SCD Type 1 dimension updates in Python using SQLite — overwrite existing rows with new data while preserving keys.

scd data-warehouse sqlite
Python
import sqlite3

# Simulate a dimension table with SCD Type 1 (overwrite)
conn = sqlite3.connect(":memory:")
cursor = conn.cursor()

# Create dimension table
cursor.execute("""
    CREATE TABLE customer_dim (
        customer_id INTEGER PRIMARY KEY,
        customer_name TEXT,
        city TEXT,
        updated_at TEXT…
14 0 Open
Data pipelines & processing medium

How to Implement Slowly Changing Dimension Type 2 History in Python

Build a type-2 slowly changing dimension pipeline that closes old records and opens new ones when customer data changes.

scd dimension history
Python
from datetime import datetime, timedelta

def apply_scd_type2(records, current_date):
    """Returns active records after inserting new records with type-2 history."""
    history = []
    active = {}

    for record in records:
        key = record["customer_id"]
        if key in active:
            active[key]["end…
13 0 Open
Data pipelines & processing medium

How to Stream a Large JSONL File Line by Line in Python

Process a large JSON-lines file incrementally using streaming techniques to avoid loading the entire file into memory.

streaming jsonl large-files
Python
import json

def process_large_file(filepath, chunk_size=8192):
    """
    Stream a large JSON-lines file line by line, processing each record
    without loading the entire file into memory.
    """
    total_count = 0
    total_sum = 0
    
    with open(filepath, 'r') as f:
        while True:
            chunk = …
13 0 Open
Data pipelines & processing medium

How to Topologically Sort a DAG in Python

Compute a valid execution order for tasks with dependencies using Kahn's algorithm in Python.

dag topological-sort graph
Python
from collections import defaultdict, deque


def topological_order(dependencies):
    graph = defaultdict(list)
    in_degree = defaultdict(int)
    tasks = set(dependencies.keys())

    for task, depends_on in dependencies.items():
        for d in depends_on:
            graph[d].append(task)
            in_degree[t…
11 0 Open
Data pipelines & processing medium

How to Validate Fact Table Grain Row Counts in Python

Validate fact table grain by checking dimension key references, unique grain combinations, duplicate rows, and dimension cardinality from a CSV file.

csv data validation etl
Python
import csv
import hashlib
from pathlib import Path


def validate_fact_grain(fact_file: Path, expected_dim_keys: dict[str, set[str]]) -> dict:
    """
    Validate fact table grain by checking each row's dimension keys exist
    in expected dimension tables and row count consistency.
    """
    dim_references = {}
  …
13 0 Open
Data pipelines & processing medium

How to perform a star schema join in Python

Denormalize mock fact and dimension tables by building lookup dicts and enriching each sales fact with customer, product, and date attributes.

star-schema data-joins dimensional-modeling
Python
from datetime import date

# Mock dimension tables
customers = [
    {"customer_id": 1, "name": "Alice", "city": "New York"},
    {"customer_id": 2, "name": "Bob", "city": "Los Angeles"},
    {"customer_id": 3, "name": "Carol", "city": "Chicago"},
]

products = [
    {"product_id": 101, "name": "Laptop", "category": "…
12 0 Open
Git + Python medium

How to Archive a Repository as a ZIP in Python

Create a ZIP archive of a repository directory with a mock export, skipping hidden files and __pycache__ folders.

zipfile os.walk archiving
Python
import zipfile
import io
import os
from pathlib import Path


def archive_repo_mock(repo_path, output_path="repo_archive.zip"):
    """Create a zip archive of a repository directory (mock export)."""
    repo = Path(repo_path)
    if not repo.exists():
        raise FileNotFoundError(f"Repository not found: {repo}")

…
13 0 Open
Git + Python medium

How to Build a Branch Protection Audit Mock API in Python

A mock HTTP API that serves branch protection rules for repositories and audits them for compliance, built with Python's standard library.

git api http-server
Python
import json
from http.server import BaseHTTPRequestHandler, HTTPServer
from urllib.parse import urlparse, parse_qs

REPOSITORIES = {
    "alpha": {
        "default_branch": "main",
        "branches": ["main", "develop", "feature-x"],
        "protection_rules": {
            "main": {"required_reviews": 2, "dismiss_…
11 0 Open
Git + Python medium

How to Format Git Patch Series as an MBOX File in Python

Generate a patch-series mbox file from commit metadata with numbered [PATCH nnn/nnn] subjects and a Git-style footer.

git mbox patch-series
Python
import re
from pathlib import Path


def format_patch_series_mbox(commits, output_path="series.mbox"):
    entries = []
    for idx, commit in enumerate(commits, start=1):
        subject = commit["subject"]
        author = commit["author"]
        email = commit["email"]
        date = commit["date"]
        body = …
14 0 Open
Git + Python medium

How to Generate Release Notes from Git Commit Messages in Python

This script fetches recent Git commit messages using conventional commit prefixes (feat, fix, etc.), categorizes them, and prints formatted release notes with today's date.

git release-notes automation
Python
import subprocess
import re
from datetime import datetime

def get_git_log(since_tag="HEAD~10", format_str="%s"):
    """Retrieve commit messages from git log."""
    try:
        result = subprocess.run(
            ["git", "log", f"--since={since_tag}", f"--format={format_str}"],
            capture_output=True,
   …
50 0 Open
Git + Python medium

How to Get Current Git Branch Name in Python with Mock Subprocess

Mocks the subprocess call to reliably test the current git branch name retrieval using GitPython.

git gitpython subprocess
Python
import subprocess
from unittest.mock import patch, MagicMock
from git import Repo
import os


def get_current_branch(repo_path="."):
    """Get the current branch name of a git repository."""
    repo = Repo(repo_path)
    return repo.active_branch.name


if __name__ == "__main__":
    # Mock subprocess to control the…
12 0 Open
Git + Python medium

How to Make a Git Commit Heatmap by Hour in Python

Parse a git log output and count commits by weekday and hour, then print a compact heatmap table.

git logging datetime
Python
import re
from collections import Counter
from datetime import datetime

def parse_commits(log_text):
    """Parse git log lines and count commits by (weekday, hour)."""
    pattern = re.compile(r"^Date:\s+(.+)$")
    counts = Counter()
    
    for line in log_text.splitlines():
        match = pattern.match(line)
  …
13 0 Open
Git + Python medium

How to Mock Git Cherry-Pick in Python for Tests

Mock the `repo.git.cherry_pick` method with `unittest.mock` to test a Git cherry-pick helper without a real repository.

git mock unittest
Python
from unittest.mock import patch, MagicMock

class GitCherryPicker:
    def __init__(self):
        self.applied_commits = []
    
    def cherry_pick(self, commit_hash, repo):
        try:
            result = repo.git.cherry_pick(commit_hash)
            self.applied_commits.append(commit_hash)
            return f"A…
14 0 Open

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Guide: free Python code samples library

Copy-ready Python snippets for learners and developers

PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.

How to use this library

  1. Pick a topic section — strings, lists, files, functions, and more
  2. Open a sample, read How it works, and copy the code block
  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

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.