Reference library

Python Code Samples

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

2 matches
Production deployment patterns medium

Automate Semantic Versioning with Conventional Commits in Python

Automatically bump a semantic version based on conventional commit messages (feat, fix, BREAKING CHANGE) and write the new version to a file.

semantic-versioning conventional-commits automation
Python
import re
from pathlib import Path


def get_next_version(current: str, commit_messages: list[str]) -> str:
    """Return the next semantic version based on conventional commit messages."""
    major, minor, patch = map(int, current.split("."))
    if any(msg.startswith("BREAKING CHANGE") for msg in commit_messages):
…
14 0 Open
Production deployment patterns easy

How to Deploy Staging Then Production in Python

Walk through a staged deployment mock that promotes from staging to production in sequence with Python.

deployment staging production
Python
import time

def deploy_environment(name: str) -> None:
    print(f"Deploying to {name}...")
    time.sleep(0.1)
    print(f"Deployed to {name} ✔")

def deploy_staging_then_prod() -> None:
    environments = ["staging", "production"]
    for env in environments:
        deploy_environment(env)
        if env == "stagi…
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.