Testing Python Code: Building a Stack Class with Code Coverage

Writing code that works is only half the battle; knowing how to systematically test your implementation is what separates beginners from professional developers. Understanding how to measure test coverage ensures you never leave critical code paths untested. By taking this course, you will learn how to implement a classic stack data structure in Python and write comprehensive unit tests for its push and pop functionality. You will gain a clear understanding of testing principles, learn how to measure code coverage, and discover how to identify untested areas of your codebase. What you'll learn: Understand core data structure concepts by implementing a custom Python stack class; Write clean unit tests using modern pytest syntax to verify push and pop behaviors; Apply modern Python type hints to make your data structures self-documenting and robust; Measure test coverage to identify exactly which lines of code are executed during tests; Analyze coverage reports to find untested edge cases and improve software quality. You will start with the fundamental definitions of stacks and unit testing before moving on to hands-on Python implementation. Through clear written explanations and step-by-step code examples, you will learn to write tests, run coverage tools, and interpret the results. This course is designed for beginner Python developers who want to learn testing best practices and data structure implementation from scratch. No prior testing experience is required. Expand your Python development skills and start writing fully tested code today.