Modern tooling
uv, ruff, pyproject.toml, packaging, and current Python project workflows.
Build a Recipe Runner Mock in Python
A Python script that mocks a command runner recipe system: maps recipe names to shell commands, executes them with subprocess, and prints the output and exit code.
import subprocess
import sys
def run_recipe(recipe: str) -> None:
"""Simulate a command runner recipe by printing the command and exit code."""
print(f"Running recipe: {recipe}")
result = subprocess.run(recipe, shell=True, capture_output=True, text=True)
print(f"Exit code: {result.returncode}")
i…How to Mock CLI Output in Typer with unittest.mock
Mock and capture Typer CLI output using unittest.mock.patch and io.StringIO for testing command-line applications.
import typer
from unittest.mock import patch
import io
app = typer.Typer()
@app.command()
def greet(name: str, age: int = 18, uppercase: bool = False):
"""Greet a person with optional formatting."""
message = f"Hello {name}, age {age}"
if uppercase:
message = message.upper()
typer.echo(messag…How to Mock a pipx Install Command in Python
Simulate a pipx install step by validating tool names and printing the exact command output a real pipx run would produce.
import subprocess
import sys
def install_with_pipx(tool_name: str) -> str:
"""
Mock a pipx install step by validating the tool name and
simulating the installation command output.
"""
allowed_tools = {"black", "flake8", "mypy", "ruff"}
if tool_name not in allowed_tools:
raise ValueErr…How to Mock isort Output to Test Import Sorting in Python
Uses isort with check mode and a unittest mock to verify whether a Python source string has correctly sorted imports.
import isort
from unittest.mock import patch
code = """
import os
import sys
import json
import pathlib
"""
def check_imports_sorted(code_str):
with patch("isort.api.output") as mock_output:
isort.code(code_str, check=True, show_diff=True)
return mock_output.called
if __name__ == "__main__":
…How to Parametrize Tests in Python with pytest
This code demonstrates how to use pytest's @pytest.mark.parametrize decorator to run a single test function against multiple input sets, ensuring comprehensive coverage with minimal code duplication.
import pytest
def multiply(a, b):
return a * b
@pytest.mark.parametrize("x, y, expected", [
(2, 3, 6),
(4, 5, 20),
(0, 10, 0),
(7, 1, 7),
])
def test_multiply(x, y, expected):
result = multiply(x, y)
assert result == expected, f"multiply({x}, {y}) = {result}, expected {expected}"
if _…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.