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Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

414 matches
Database scaling & optimization medium

How to Simulate a Stable Sort Cursor in Python

Build a MongoDB-style cursor mock that stably sorts records by a key while preserving original order for ties, with next() and rewind() methods.

sorting cursors database
Python
```python
import random

class CursorStableSortMock:
    """Simulates stable sorting with a cursor-like pointer for MongoDB-style queries."""
    
    def __init__(self, data, sort_key, reverse=False):
        self.data = list(data)
        self.sort_key = sort_key
        self.reverse = reverse
        self._index = …
14 0 Open
Database scaling & optimization easy

How to Validate Data Before Scaling in Python

A reusable Python helper that validates required fields and constraint checks on data rows before entering a database pipeline, improving data quality and throughput.

validation data-quality scaling
Python
def validate_data(data, required_fields, constraints=None):
    """
    Basic validation helper demonstrating data-quality workflows
    before scaling (catches bad rows early, improves throughput).
    """
    constraints = constraints or {}

    errors = []
    for field in required_fields:
        if field not in d…
16 0 Open
Database scaling & optimization medium

Simulate a GIN Index for JSONB in Python

Build a mock Generalized Inverted Index (GIN) that flattens JSON documents into key-value tokens for fast lookup queries, mimicking PostgreSQL JSONB indexing.

jsonb gin-index inverted-index
Python
import json
import random
from collections import defaultdict

# Mock GIN (Generalized Inverted Index) for JSONB key-value pairs
class GINIndex:
    def __init__(self):
        self.posting_lists = defaultdict(list)  # token -> list of doc_ids
    
    def index(self, doc_id, json_obj):
        """Index a JSON documen…
15 0 Open
Database scaling & optimization easy

UUID vs sequential primary key in Python

Simulate and compare UUID vs sequential primary key generation in Python to understand trade-offs in ordering and uniqueness.

uuid primary-key database
Python
import uuid
import time

def create_record_with_uuid(name):
    record_id = uuid.uuid4()
    return {"id": record_id, "name": name}

def create_record_with_sequential_id(name, counter):
    counter += 1
    return {"id": counter, "name": name}

if __name__ == "__main__":
    # Simulate users inserting records
    sequ…
15 0 Open
Auth & security at scale easy

Build a Mock OIDC Userinfo Endpoint in Python with Flask

Create a local mock OIDC userinfo endpoint in Flask that returns a standard JSON user payload, ideal for testing auth flows without a real identity provider.

flask oidc userinfo
Python
from flask import Flask, jsonify

app = Flask(__name__)

@app.route("/userinfo")
def userinfo():
    mock_user = {
        "sub": "1234567890",
        "name": "John Doe",
        "email": "john@example.com",
        "email_verified": True,
        "groups": ["admin", "dev"]
    }
    return jsonify(mock_user)

if __n…
16 0 Open
Auth & security at scale easy

Fetch Secrets from a Mock Secrets Manager in Python

Build a minimal in-memory secrets manager that stores and retrieves secret values, raising a KeyError for missing names.

secrets-management security mock
Python
import json

class SecretsManager:
    """Mock secrets manager that returns secrets from a local store."""
    
    def __init__(self, store=None):
        self.store = store or {
            "api_key": "mock-api-key-123",
            "db_password": "s3cret-p@ss",
            "jwt_secret": "dev-only-secret"
        }
…
17 0 Open
Auth & security at scale easy

How to Check Negotiated Cipher Suite in Python

Connect to a TLS server with Python's ssl module and print the negotiated protocol version and cipher suite details.

tls ssl security
Python
import ssl
import socket

def get_cipher_suites(hostname, port=443):
    context = ssl.create_default_context()
    context.set_ciphers("DEFAULT:@SECLEVEL=2")
    
    with socket.create_connection((hostname, port), timeout=5) as sock:
        with context.wrap_socket(sock, server_hostname=hostname) as ssock:
        …
18 0 Open
Auth & security at scale easy

How to Mock a Content Security Policy Header in Python

Mock a Content-Security-Policy header locally and verify it's served correctly using Python's built-in HTTP server.

csp http-server security-headers
Python
import json
from http.server import BaseHTTPRequestHandler, HTTPServer

CSP_HEADER = "default-src 'self'; script-src 'self'; style-src 'self' 'unsafe-inline'"

class MockServer(BaseHTTPRequestHandler):
    def do_GET(self):
        if self.path == "/":
            self.send_response(200)
            self.send_header("…
16 0 Open
Auth & security at scale medium

OAuth2 authorization code flow mock in Python

A minimal HTTP server that mocks the OAuth2 authorization code flow, issuing codes via /authorize and exchanging them for tokens at /token.

oauth2 http-server mock-server
Python
import json
from http.server import BaseHTTPRequestHandler, HTTPServer
from urllib.parse import urlparse, parse_qs

AUTH_CODE_STORE = {}
CLIENT_ID = "demo-client"
REDIRECT_URI = "http://localhost:8000/callback"

class OAuthHandler(BaseHTTPRequestHandler):
    def do_GET(self):
        parsed = urlparse(self.path)
    …
16 0 Open
Production deployment patterns easy

Design a Data Helper for Beginners in Python

Build a beginner-friendly DataHelper class that loads, saves, appends, and summarizes JSON data with atomic file writes.

json class pathlib
Python
import json
from datetime import datetime
from pathlib import Path


class DataHelper:
    """A beginner-friendly helper for common data operations."""

    def __init__(self, data=None, filepath=None):
        self.data = data if data is not None else []
        self.filepath = Path(filepath) if filepath else None

 …
16 0 Open
Production deployment patterns easy

Generate a Mock Artifact Version Tag in Python

Creates a mock build artifact version tag from a branch name and build number, with a date stamp.

artifact versioning ci
Python
import re
from datetime import datetime

def mock_version_tag(branch_name: str, build_number: int) -> str:
    """Generate a mock build artifact version tag from branch and build number."""
    branch_slug = re.sub(r'[^a-zA-Z0-9]+', '-', branch_name).strip('-').lower()
    date_part = datetime.utcnow().strftime('%Y%m%…
16 0 Open
Production deployment patterns easy

Generate a docker-compose.yml with mock services in Python

Build a docker-compose.yml string from a Python dict of service names and images, then write it to a file.

docker compose yaml
Python
import yaml
from pathlib import Path

def generate_mock_compose(services: dict) -> str:
    compose = {
        "version": "3.9",
        "services": {}
    }
    
    for name, image in services.items():
        compose["services"][name] = {
            "image": image,
            "container_name": f"mock-{name}",
  …
21 0 Open
Production deployment patterns easy

How to Build a Data Helper for Production Deployment in Python

Build a reusable DataHelper class that loads configs, validates required keys, normalizes string values, and logs schema details — a production-ready data processing pattern.

json pathlib data-processing
Python
import json
from pathlib import Path
from typing import Any, Dict

class DataHelper:
    """Common data processing patterns for production deployment."""
    
    def __init__(self, config_path: str | Path):
        self.config_path = Path(config_path)
        self.config = self._load_config()
    
    def _load_confi…
15 0 Open
Production deployment patterns medium

How to Build a GitOps Argo CD Sync Mock in Python

Simulate Argo CD-style GitOps deployment sync with Python dataclasses, random success rates, and force-sync retry logic.

gitops argo-cd deployment
Python
import random
import time
from dataclasses import dataclass, field
from typing import List, Dict


@dataclass
class Application:
    name: str
    source_repo: str
    target_revision: str
    synced: bool = False
    health_status: str = "Healthy"
    history: List[Dict] = field(default_factory=list)

    def sync(se…
14 0 Open
Production deployment patterns easy

How to Build a Mock Trivy Image Scan Gate in Python

Simulate a Trivy image scan and enforce a security gate that fails the pipeline when vulnerabilities meet or exceed a severity threshold.

trivy security ci-cd
Python
import json
import sys


def mock_trivy_scan(image_name, severity_threshold="HIGH"):
    """Simulate a Trivy image scan result."""
    mock_vulnerabilities = [
        {"ID": "CVE-2023-1234", "Severity": "HIGH", "Package": "openssl", "FixedVersion": "3.0.9"},
        {"ID": "CVE-2024-5678", "Severity": "CRITICAL", "Pa…
17 0 Open
Production deployment patterns easy

How to Build a Simple Data Helper Class in Python

A beginner-friendly DataHelper class that safely saves and loads JSON files with automatic directory creation, perfect for production-style file handling.

json file-handling data-persistence
Python
from pathlib import Path
import json


class DataHelper:
    """Simple production-style helper for loading and saving JSON data."""

    def __init__(self, data_dir="data"):
        self.data_dir = Path(data_dir)
        self.data_dir.mkdir(exist_ok=True)

    def save(self, filename, data):
        filepath = self.da…
13 0 Open
Production deployment patterns easy

How to Build a Simple Data Helper Class in Python

A beginner-friendly DataHelper class that stores Python dataclass objects as JSON records to disk, with load, add, and save methods.

dataclass json file-io
Python
import json
from dataclasses import dataclass, asdict
from pathlib import Path

@dataclass
class User:
    name: str
    age: int
    email: str

class DataHelper:
    def __init__(self, filepath: str = "data.json"):
        self.filepath = Path(filepath)
        self._data = self._load()
    
    def _load(self) -> l…
13 0 Open
Production deployment patterns easy

How to Build a Synthetic Monitor Mock in Python

Simulates a synthetic monitoring system in Python that collects latency samples, averages them, and reports service status as UP or DEGRADED.

monitoring dataclass simulation
Python
import random
import time
from dataclasses import dataclass, field
from statistics import mean


@dataclass
class SyntheticMonitor:
    service: str
    endpoint: str
    latency_ms: list[float] = field(default_factory=list)

    def check(self) -> float:
        latency = random.uniform(50.0, 250.0)
        self.late…
15 0 Open
Production deployment patterns easy

How to Create a Liveness Probe HTTP Mock in Python

Build a lightweight HTTP server in Python that mimics a Kubernetes-style liveness endpoint, returning JSON health status for local testing.

http healthcheck mock-server
Python
import http.server
import threading
import time


class LivenessHandler(http.server.BaseHTTPRequestHandler):
    def do_GET(self):
        if self.path == "/healthz":
            self.send_response(200)
            self.send_header("Content-Type", "application/json")
            self.end_headers()
            self.wfi…
16 0 Open
Production deployment patterns easy

How to Implement a Data Helper Class in Python for Production Deployments

Build an environment-aware data helper in Python that loads config, extracts, transforms, and reports on JSON data using small, testable functions.

data-helper production json
Python
"""Production-style data helper for beginners.

Demonstrates:
- environment-aware config
- central data extraction
- small, testable functions
"""

import os
import json
from pathlib import Path
from typing import List, Dict, Any


def load_config(env: str = os.getenv("APP_ENV", "development")) -> Dict[str, Any]:
    …
14 0 Open
Production deployment patterns easy

How to Mock Docker Image Non-Root User in Python

This Python class simulates Docker image layers and inspects whether the final user is a non-root user, returning UID, GID, and security status.

docker security mock
Python
from pathlib import Path


class DockerImageMock:
    def __init__(self, name, tag):
        self.name = name
        self.tag = tag
        self.layers = []
        self.user = "root"

    def add_file(self, path, content):
        self.layers.append({"file": path, "content": content})

    def set_user(self, usernam…
12 0 Open
Production deployment patterns easy

How to Mock Multi-Stage Docker Builds in Python

Simulate a multi-stage Docker build in pure Python using classes and temp directories to understand how build stages copy artifacts into a final image.

docker multi-stage simulation
Python
# Simulate multi-stage Docker build with pure Python
from pathlib import Path
import tempfile
import shutil

class BuildContext:
    """Mimics a Docker build context with stages."""
    
    def __init__(self, name):
        self.name = name
        self.files = {}
    
    def add_file(self, dest, content):
        s…
16 0 Open
Production deployment patterns easy

How to Mock a CI Pipeline with Build, Test, and Deploy Stages in Python

Simulate a three-stage CI pipeline (build, test, deploy) in Python with random pass/fail logic, early exit on failure, and measured stage durations.

ci-cd simulation dataclasses
Python
import time
import random
from dataclasses import dataclass


@dataclass
class StageResult:
    name: str
    status: str
    duration: float


def run_stage(name: str, success_chance: float = 0.9) -> StageResult:
    """Simulate a pipeline stage with random success/failure."""
    start = time.time()
    time.sleep(r…
18 0 Open
Production deployment patterns easy

How to Mock a Container Registry in Python

Build an in-memory container registry mock with push, tag listing, and manifest retrieval logic for testing deployment tooling.

containers testing mocking
Python
import json
from collections import defaultdict


class MockRegistry:
    def __init__(self):
        self.repositories = defaultdict(dict)

    def push_image(self, repo: str, tag: str, layers: list[str]) -> None:
        self.repositories[repo][tag] = {
            "layers": layers,
            "size": sum(len(layer…
16 0 Open

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How to use this library

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  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.