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Python Code Samples

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

2 matches
Modern tooling easy

How to Generate a Mock devcontainer.json Config in Python

Build a reproducible devcontainer.json file with Python, composing name, image, extensions, forwarded ports, and a post-create command as a dict.

devcontainer json config
Python
import json
from pathlib import Path


def create_devcontainer_config(
    image: str = "mcr.microsoft.com/devcontainers/python:3.11",
    name: str = "python-dev-container",
    ports: list[int] | None = None,
    post_create: str | None = None,
) -> dict:
    config = {
        "name": name,
        "image": image,
…
14 0 Open
Modern tooling easy

How to Read the Python Path from VS Code settings.json in Python

This code loads VS Code's settings.json file and extracts the python.defaultInterpreterPath value, with a mock demonstration for testing.

vscode settings json
Python
import json
from pathlib import Path
from unittest.mock import patch

def read_vscode_python_path(settings_path: Path) -> str:
    """Extract python.defaultInterpreterPath from VS Code settings.json."""
    with open(settings_path, "r") as f:
        settings = json.load(f)
    return settings.get("python", {}).get("d…
13 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.