Modern tooling
uv, ruff, pyproject.toml, packaging, and current Python project workflows.
Mock Python version with unittest.mock.patch
Use unittest.mock.patch to simulate a specific Python version and test version-dependent behavior.
import sys
import unittest
from unittest.mock import patch
class TestPythonVersion(unittest.TestCase):
@patch("sys.version_info", (3, 9, 0, "final", 0))
def test_python_version_pinned(self):
self.assertEqual(sys.version_info[:2], (3, 9))
print(f"Pinned version: {sys.version_info.major}.{sys.ve…Mock pdm build and publish in Python
Simulate pdm build and publish commands with unittest.mock to test packaging workflows without triggering real builds or uploads.
from unittest.mock import Mock, patch
import pdm
def build_package() -> str:
"""Simulate building a package with pdm."""
build_mock = Mock(return_value="dist/mypackage-0.1.0-py3-none-any.whl")
with patch.object(pdm, "build", build_mock):
result = pdm.build()
return result
def publish_packa…Mocking loguru for Structured Logging in Python
Simulate loguru's structured logging with a custom mock that captures JSON-formatted log entries with bound context.
import json
import sys
from io import StringIO
from unittest.mock import patch
def mock_loguru():
# Simulate a structured logger with context binding
class StructuredLogger:
def __init__(self):
self.context = {}
def bind(self, **kwargs):
logger = StructuredLogger()
…pytest mark slow skip integration
Uses pytest markers to select fast tests, skip unfinished ones, and run integration checks with verbose output.
import pytest
def test_fast():
assert 1 + 1 == 2
@pytest.mark.slow
def test_slow():
import time
time.sleep(1)
assert 5 * 5 == 25
@pytest.mark.skip(reason="Not ready for production")
def test_skipped():
assert 2 + 2 == 5
@pytest.mark.integration
def test_integration():
database = {"users": […Browse by section
Each section groups closely related Python snippets.
Modern tooling — Python code examples
What you will find here
This page collects modern tooling snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.
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.