Test Driven Development in Python and Pytest | CodeSignal Learn

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Test Driven Development in Python and Pytest

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4 courses

100 practices

6 hours

Learn Test Driven Development (TDD) in Python. Write clean, testable code by writing tests first. Set up Pytest, master mocking and test doubles, and apply refactoring techniques to build robust, maintainable applications with fewer bugs.

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Certificate of Achievement

Verified skills you'll gain

INTERMEDIATE

Computer Science Fundamentals

INTERMEDIATE

Programming, Algorithms, and Data Structures

Tools you'll use

pytest

Python

Course 1

Foundations of TDD in Python and Pytest: The Principles

6 lessons

27 practices

This course introduces Test-Driven Development (TDD) for Python projects, covering the Red-Green-Refactor workflow, TDD mindset, and setup with pytest. Learn best practices like SOLID principles and dependency injection, and explore TDD's impact on code quality and speed compared to traditional approaches.

Course 2

Red-Green-Refactor: Practicing TDD with Python & Pytest

5 lessons

27 practices

This course focuses on practicing the core TDD workflow: "Red-Green-Refactor." You'll write failing tests (Red), implement code to pass them (Green), and refactor while keeping tests passing (Refactor). No new concepts are introduced—just hands-on practice with various requirements to sharpen your TDD skills.

Course 3

Isolating Dependencies with Test Doubles with Python & Pytest

5 lessons

25 practices

Discover the pivotal role of test doubles in modern software testing. This introductory session will guide you through the essentials of dummies, stubs, spies, mocks, and fakes. Learn how these powerful tools help you isolate units under test, control behavior, and build reliable, fast, and maintainable tests. Step into the world of test doubles and elevate your software development skills.

Course 4

Refactoring by Leveraging Your Tests with Python and Pytest

5 lessons

21 practices

This course focuses on the Refactor step in TDD, teaching developers to spot code smells and resolve them through refactoring. Using real-world examples, you'll identify common issues, apply refactoring techniques, and ensure functionality is preserved with existing tests.

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