Python Unit Testing Tutorial | unittest & pytest
Welcome to the Python Full Course 2026 by SP Learning Labs (SPLL) 🚀
In this video, you’ll learn Testing in Python — a critical skill for building bug-free, stable, and production-ready applications.
Professional developers never trust code that is not tested.
This module teaches you how to write automated tests using unittest, pytest, and mocking techniques.
📌 What You’ll Learn
✔ Why testing is important in Python projects
✔ Writing tests using unittest framework
✔ Simple and powerful testing with pytest
✔ Assertions and test structures
✔ Mocking & monkeypatching for external dependencies
✔ Best practices for clean and maintainable tests
✔ Common testing mistakes to avoid
✔ Code coverage and advanced testing tools
✔ Interview questions and answers
💡 Why This Module is Important
Python testing is used in:
• Backend development
• Web applications
• Data science pipelines
• Automation projects
• Enterprise software development
Mastering testing makes you a professional Python developer ready for real-world projects.
🎯 Next Topic: Concurrency, Threading & Async in Python
👍 Support the Course
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👍 Like the video
💬 Comment your doubts
Time stamps :
00:00 : Introduction
01:08 : Why testing matters
01:37 : Unit test framework
05:00 : mocking and monkey patching
08:55 : Best Practices
09:28 : Common Mistakes
10:00 : Facts
10:55 : Interview Questions
#Python #PythonTesting #unittest #pytest #LearnPython #SPLL #pythonfullcourse
Find the full course playlist here : • Python Full course 2026 -- Intermediate
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This video, including audio, visuals, code examples, and explanations, is the intellectual property of SP Learning Labs.
Unauthorized copying, reproduction, redistribution, re-uploading, or use of this content (in full or in part) on any platform without prior written permission is strictly prohibited.
This content is created for educational purposes only.
Any reuse must provide proper credit to SP Learning Labs.
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