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QUICK TIPS FOR EASY UNIT TESTING IN PYTHON

Know what Python Code is and how well you can deduce Python frameworks with quick steps. Deploy seamless unit testing as a top data scientist with sheer skills!

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QUICK TIPS FOR EASY UNIT TESTING IN PYTHON

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  1. QUICK TIPS FOR EASY UNIT TESTING IN PYTHON © 2025. United States Data Science Institute. All Rights Reserved. Not a fan of unit testing in Python yet? Keep Scrolling! CHECKOUT FROM REPOSITORY CHECK IN CODE TO REPOSITORY UNIT TEST LIFECYCLE MAKE CODE CHANGES CODE REVIEW FIX DEFECTS RE EXECUTE UNIT TESTS EXECUTE UNIT TESTS Source: kbstechnocraft.com Unit testing in software development ensures the correctness, reliability, and maintainability of the code. They act as safety nets, catching bugs early, making refactoring easier, and yielding better collaboration between developers and testers. © 2025. United States Data Science Institute. All Rights Reserved. Elevate Your Unit Testing Game with Simple Steps Keep Tests Focused & Small Structure with AAA (Arrange-Act-Assert) Test One Thing at a Time Isolate Dependencies Aim for Speed with Smaller Tests ARRANGE ACT ASSERT Set up the necessary preconditions and data Execute the code being tested Verify the expected outcome Providing meaningful assertions, such as assertEqual, assertTrue, and assertRaises, can help define the expected result clearly Write Clear & Descriptive Tests Follow a naming convention, such as test_calculate_total_with_discount Test Edge Cases & Error Handling Test Edge Cases & Error Handling Consider boundary conditions and test the limits of your inputs Write tests early as you develop your code, not as an afterthought Test invalid inputs to ensure your code handles unexpected input gracefully Automate tests by using tools- GitHub Actions, GitLab CI, or Jenkins Verify error messages if your code raises exceptions with specific messages Aim for high coverage and use coverage tools to identify untested areas © 2025. United States Data Science Institute. All Rights Reserved. What makes the top choice for Test Automation? Python Testing Frameworks Based on The Zen of Python Ease of usage and less verbose Supports several IDES Comes with active community support Contains a vast library of frameworks Easy integration with CI/CD tools Supports parallel testing Source: Testingexperts.com Python Frameworks are versatile, easy to use, possess a rich ecosystem, and a strong community support. readability and numerous libraries streamline test Python code’s creation along with flexibility, making it a preferred choice for automation. © 2025. United States Data Science Institute. All Rights Reserved. Best Practices for Python Unit Testing Frameworks Prioritize writing test cases for sections with minimum external dependencies Tests should be logical, simple, and independent of other tests Each unit should be named precisely and properly documented Testers should create and run unit tests that cover exceptions © 2025. United States Data Science Institute. All Rights Reserved. Implement these tips and rank among top Data Scientists Explore USDSI Certifications Today! ® © 2025. United States Data Science Institute. All Rights Reserved.

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