YouTube Excerpt: In this Python testing tutorial, we build a Calculator class and learn how to test it properly using manual testing, assert statements, and the unittest framework. If youโve been writing Python code but not testing it correctly, this video will show you how professional developers validate logic before deploying to production. We cover: Manual testing vs automated testing in Python How to use assert in Python Writing structured unit tests using unittest Testing add() and divide() methods Handling edge cases like division by zero Why unit testing is essential for backend systems By the end of this video, youโll understand the difference between debugging and testing, and how to write production-ready Python code. All source code used in this tutorial is available in the GitHub repository. The link is attached in the description. If you're learning: Python OOP Backend development Software engineering fundamentals Test-driven development Clean code practices This video is for you. ๐ Subscribe for upcoming tutorials on: AI integrations in real applications Automation workflows Backend system design Production-level Python development ๐ Related Links & Code https://github.com/saakethlabs/Python_Fasttrack https://www.instagram.com/saakethlabs/ ๐ If you found this video helpful, please **LIKE**, **COMMENT** your Python questions, and **SUBSCRIBE** for more tutorials (variables, loops, functions & more!). Hit the ๐ so you don't miss out. #python, #PythonProgramming, #PythonTutorial, #LearnPython, #ForBeginners, #CodingForBeginners, #ProgrammingBasics, #DataScience, #MachineLearning, #WebDevelopment, #AI
In this Python testing tutorial, we build a Calculator class and learn how to test it properly using manual testing, assert statements, and the...
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