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Testing & modern typing

pytest basics, mocks, type hints, TypedDict, Protocol, and static-checking patterns.

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Generate Fake User Data with Faker in Python

Use the Faker library to generate realistic fake user profiles with names, emails, phone numbers, and addresses for tests or demos.

faker fake-data testing

Python

from faker import Faker

fake = Faker()

def generate_user():
    return {
        "name": fake.name(),
        "email": fake.email(),
        "phone": fake.phone_number(),
        "address": fake.address().replace("\n", ", "),
    }

if __name__ == "__main__":
    user = generate_user()
    for key, value in user.ite…

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Testing & modern typing easy

How to Compare Files and Show a Diff in Python

Compare two text files and print a unified diff using Python's difflib module to highlight differences.

diff files difflib

Python

import difflib
from pathlib import Path

def compare_files(expected_path: str, actual_path: str) -> str:
    """Compare two text files and return a unified diff."""
    expected = Path(expected_path).read_text()
    actual = Path(actual_path).read_text()

    diff = difflib.unified_diff(
        expected.splitlines(ke…

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Testing & modern typing easy

How to Mock pathlib Path.read_text with mock_open in Python

Mock pathlib.Path.read_text using patch and mock_open to test file-reading code without touching the filesystem.

testing mock pathlib

Python

import pathlib
from unittest.mock import mock_open, patch

def read_config(filepath: pathlib.Path) -> str:
    """Read file content with pathlib."""
    return filepath.read_text()

if __name__ == "__main__":
    mock_data = "version: 1.0\nname: demo-app"
    
    with patch("pathlib.Path.open", mock_open(read_data=mo…

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