Reference library

Modern tooling

uv, ruff, pyproject.toml, packaging, and current Python project workflows.

3 matches
Modern tooling easy

How to Mock Poetry pyproject.toml Dependencies Sections in Python

Parse and extract dependency lists from Poetry-style pyproject.toml text using Python's standard library.

pyproject poetry toml
Python
from pathlib import Path
import re


def parse_pyproject_dependencies(text):
    """Extract dependencies from a pyproject.toml style text."""
    lines = text.splitlines()
    sections = {
        "dependencies": [],
        "dev": [],
        "optional": [],
    }
    current_section = None

    patterns = {
        …
15 0 Open
Modern tooling easy

How to Mock a Fast uv pip sync in Python

Simulate a fast uv pip sync by mocking file operations and subprocess calls to test dependency installation workflows.

uv mocking pip
Python
import os
import shutil
import subprocess
import sys
import tempfile
from pathlib import Path

def uv_pip_sync_fast_install_mock(requirements_text: str) -> dict:
    """Simulate a fast uv pip sync by mocking file operations and subprocess calls."""
    mock_dir = Path(tempfile.mkdtemp(prefix="uv_mock_"))
    req_lines…
14 0 Open
Modern tooling easy

Mock pip-compile to Resolve Requirements in Python

A mock function that mimics pip-compile by converting a requirements.in file into pinned, locked package versions.

pip-tools requirements mock
Python
import subprocess
import tempfile
from pathlib import Path


def compile_requirements_mock(requirements_in: str) -> str:
    """Mock pip-compile: resolve a simple requirements.in into a locked format."""
    lines = [line.strip() for line in requirements_in.splitlines() if line.strip() and not line.startswith("#")]
  …
12 0 Open

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.