python-pytest

What problem does it solve?

Pytest testing guidelines created to standardize how Python projects write tests, ensuring consistency and quality across teams.

Core Features & Use Cases

• AAA and Given-When-Then patterns: promote clear test structure and readability.
• Fixture and Mock strategies: guidance on reuse, scoping, and isolation.
• Parameterization, asynchronous testing, and coverage goals: best practices for broad input coverage and modern test scenarios.
• Test organization and naming conventions: rules to maintain a scalable test suite.

Quick Start

Create a new test module following these guidelines and start applying fixtures, mocks, and parameterized tests to achieve high-quality, maintainable tests.