Python Code
Samples
Medium snippets you can copy, study, and run in the browser editor.
How to Simulate Blue-Green Deployment Switch in Python
A mock Blue-Green deployment class that deploys new versions to an inactive environment, runs a health check, switches traffic, and supports rollback in Python.
import random
import time
class BlueGreenDeployment:
def __init__(self, initial_env="blue"):
self.environments = {"blue": "v1.0", "green": "v1.0"}
self.active_env = initial_env
self.running = True
def deploy_new_version(self, version, target_env):
if target_env == self.active_…
How to Smoke Test a Deployment in Python with unittest.mock
Run a post-deploy smoke test by mocking the deployment status check to verify your health-check logic returns PASS/FAIL.
import unittest
from unittest.mock import Mock, patch
class DeploymentService:
def check_status(self):
return "unknown"
def smoke_test_deploy():
service = DeploymentService()
with patch.object(service, "check_status", return_value="healthy") as mock_check:
status = service.check_status()
…
How to mock Kustomize overlay patches in Python
Simulate Kustomize overlay behavior by deep-merging a base Kubernetes manifest with a patch dictionary in pure Python.
import json
SOURCE = {
"apiVersion": "apps/v1",
"kind": "Deployment",
"metadata": {"name": "app", "namespace": "prod"},
"spec": {
"replicas": 3,
"template": {
"spec": {
"containers": [{"name": "app", "image": "nginx:1.19"}]
}
}
}
}
P…
How to mock S3 remote backend for Terraform in Python
Simulate a Terraform S3 remote backend using moto to write and read state files, enabling local testing without real AWS.
import boto3
from moto import mock_aws
import json
from pathlib import Path
@mock_aws
def demo_s3_remote_backend():
s3 = boto3.client("s3", region_name="us-east-1")
bucket = "terraform-state-bucket"
key = "env/prod/terraform.tfstate"
s3.create_bucket(Bucket=bucket)
# Simulate Terraform w…
Mock ConfigMap Mount Environment Variables in Python
Simulate reading environment variables from a Kubernetes ConfigMap-mounted directory and test it with mocks.
import os
import tempfile
from unittest.mock import patch
def load_config_from_mount(mount_path):
"""Simulate reading environment variables from a ConfigMap-mounted directory."""
config = {}
for filename in os.listdir(mount_path):
file_path = os.path.join(mount_path, filename)
if os.path.i…
Mock Kubernetes HPA CPU Scaling in Python
Python function that simulates CPU utilization and calculates desired replicas using the Kubernetes HPA formula.
import random
import time
def simulate_cpu_utilization(target_utilization=50, samples=10):
"""Simulate CPU utilization readings for HPA mock."""
utilizations = []
for _ in range(samples):
# Simulate fluctuating CPU with random noise around target
current = target_utilization + random.unif…
Zero Downtime Migration with Dual Write Pattern in Python
Implement a dual-write pattern that writes user data to both legacy and new systems simultaneously to enable zero-downtime migration.
from datetime import datetime
import json
class UserService:
def __init__(self):
self.legacy_db = {}
self.new_db = {}
self.migration_log = []
def write_user(self, user_id, name, email):
# Write to new system first
user_record = {
"id": user_id,
…
Browse by section
Each section groups closely related Python snippets.
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
- Pick a topic section — strings, lists, files, functions, and more
- Open a sample, read How it works, and copy the code block
- 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.