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Python Code Samples

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

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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…
14 0 Open
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…
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.