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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
Production deployment patterns easy

How to Mock a Dockerfile Multi-Stage Build in Python

Simulate a Dockerfile multi-stage build process in Python using dataclasses to validate stage ordering and file availability before you write the real Dockerfile.

dockerfile multi-stage simulation
Python
from dataclasses import dataclass
from pathlib import Path


@dataclass
class BuildStage:
    name: str
    base_image: str
    files: list[str]
    commands: list[str]


def run_build(stage: BuildStage, context_dir: Path):
    print(f"=== Stage: {stage.name} (base: {stage.base_image}) ===")
    for file in stage.file…
16 0 Open
Production deployment patterns easy

How to Mock a GitHub Actions Workflow in Python

Build a dataclass-based model of a GitHub Actions workflow and simulate its execution to validate steps and outputs before deployment.

github-actions dataclasses mock
Python
import json
from dataclasses import dataclass, asdict
from typing import List, Dict, Any


@dataclass
class Step:
    name: str
    run: str


@dataclass
class Job:
    name: str
    steps: List[Step]
    runs_on: str = "ubuntu-latest"


@dataclass
class Workflow:
    name: str
    jobs: List[Job]

    def to_github_a…
15 0 Open
Production deployment patterns easy

How to Mock an Ingress TLS Certificate Manager in Python

Build a mock TLS certificate manager for ingress that issues, checks, and renews certificates with expiry tracking — useful for testing deployment workflows before touching real infrastructure.

tls certificates ingress
Python
import ssl
import socket
from datetime import datetime, timedelta


class TLSCertManager:
    def __init__(self, hostname):
        self.hostname = hostname
        self.certificates = {}

    def request_certificate(self, domain, days_valid=90):
        """Mock a certificate issuance request that stores a cert with e…
16 0 Open
Production deployment patterns easy

How to Simulate a Packer AMI Build in Python

A simple Python class that mimics a Packer AMI build lifecycle — creates a build object, transitions its state to completed, and prints a JSON snapshot.

packer ami mock
Python
import json


class PackerBuildMock:
    def __init__(self, name, ami_id, region="us-east-1", state="pending"):
        self.name = name
        self.ami_id = ami_id
        self.region = region
        self.state = state

    def build(self):
        if self.state == "pending":
            self.state = "completed"
  …
14 0 Open
Production deployment patterns easy

How to build a maintenance mode page in Python

Mock a service maintenance status page that computes remaining downtime and lists affected features from a simple class.

maintenance status datetime
Python
from datetime import datetime

class MaintenanceMode:
    """Mock a maintenance mode status page for a service."""
    
    def __init__(self, service_name: str, scheduled_end: str):
        self.service_name = service_name
        self.scheduled_end = datetime.fromisoformat(scheduled_end)
        self.affected_featur…
15 0 Open
Production deployment patterns easy

How to simulate GitLab CI stages in Python

Build a lightweight Python mock of GitLab CI pipeline stages to test job sequencing and output locally.

gitlab ci simulation
Python
def mock_gitlab_ci_stages():
    stages = ["build", "test", "deploy"]
    stage_status = {}

    for stage in stages:
        jobs = []

        if stage == "build":
            jobs = ["compile", "package"]
        elif stage == "test":
            jobs = ["unit", "integration", "e2e"]
        elif stage == "deploy":…
16 0 Open

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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.