Modern Test-Driven Development Workflow in Python

Writing reliable software requires more than just coding; it demands a structured approach to testing and design. Integrating test-driven development (TDD) into your routine ensures your applications are robust, maintainable, and ready for production. This text-only course guides you through the entire TDD lifecycle, helping you transition from writing tests as an afterthought to using them as a design tool. You will learn how to write clean Python code, safely refactor existing systems, and automate your testing processes. What you'll learn: Understand the foundational Red-Green-Refactor cycle of test-driven development; Write structured automated tests in Python using modern tools like pytest; Refactor legacy code safely without breaking existing functionality; Implement mock objects and handle errors robustly in your test suites; Apply modern Python practices like type hints to write self-documenting code; Integrate automated testing into continuous integration workflows. The journey begins with core TDD terminology and foundational testing concepts before moving into practical test writing. You will then explore legacy code refactoring strategies, error handling, and how to connect your tests to automated development pipelines. This course is designed for beginner to intermediate programmers who want to improve their software quality. Basic familiarity with Python syntax is helpful, but no prior testing experience is required. Start reading today to build a more resilient and professional development workflow.