What is a good example of an open source Python project with good unit tests? en-US(C) Copyright 2006-2026 Inflectra Corporation.support@inflectra.com/Computers/Software/Project_Management//Computers/Software/Quality_Assurance/KronoDesksupport@inflectra.comhttp://www.inflectra.com/kronodesk/forums/threads120/Support/Forum/integrations/unit-testing/1970.aspxthreadId=1970manali kadam (kadammanali987@gmail.com) What is a good example of an open source Python project with good unit tests? Tue, 15 Jan 2019 04:38:28 -05002025-01-11T09:48:53-05:00/Support/Forum/integrations/unit-testing/1970.aspxmessageId=3492David J (adam.sandman+support@inflectra.com) Have you looked here: https://docs.pytest.org/en/latest/example/simple.html Regards Adam Tue, 15 Jan 2019 12:22:06 -05002019-01-15T12:22:06-05:00/Support/Forum/integrations/unit-testing/1970.aspx#reply3492messageId=3493manali kadam (kadammanali987@gmail.com) Thanks for sharing this useful link. It helped a lot Wed, 16 Jan 2019 06:53:10 -05002019-01-16T06:53:10-05:00/Support/Forum/integrations/unit-testing/1970.aspx#reply3493messageId=6086Rohit Sharma (digitalmarketing.1stepgrow@gmail.com) One example of an open-source Python project with good unit tests is the NumPy library. NumPy is a popular library used for scientific computing in Python, and it provides support for arrays and matrices, mathematical functions, linear algebra, and more. The NumPy project has a comprehensive set of unit tests that cover almost all of its functions and features. These tests ensure that the library functions correctly, and any changes or updates to the library do not introduce new bugs or issues. The tests are also run automatically using continuous integration tools, such as Travis CI, to ensure that the library is always in a stable state. 1StepGrow Academy offers courses that cover various topics related to Data Science and Artificial Intelligence, including the use of libraries like NumPy. Their courses provide hands-on training in programming, data analysis, machine learning, and deep learning using Python and its associated libraries. The academys courses also cover topics related to software development, such as version control and testing, ensuring that individuals are equipped with the necessary skills to contribute to open-source projects like NumPy. To learn more about Data Science, Join the Best Data science and Ai course. Tue, 07 Mar 2023 13:28:13 -05002023-03-07T13:28:13-05:00/Support/Forum/integrations/unit-testing/1970.aspx#reply6086messageId=6192Sagar Sakhare (sagarsakhare3285@gmail.com) I have read this post. it was informative.. thank you.. for providing me with such valuable information... Your effort to share your knowledge has not only helped me to understand but also helped me gain insight into the subject. Your efforts are greatly appreciated... We are offering a comprehensive range of IT courses that cater to both beginners and seasoned professionals seeking to enhance their expertise... Join SevenMentor The Best Data Science Course in Pune & gain hands-on experience in data analysis, machine learning, and data visualization. Sat, 09 Sep 2023 07:24:51 -04002023-09-09T07:24:51-04:00/Support/Forum/integrations/unit-testing/1970.aspx#reply6192messageId=7081Ruhi Parveen (ruhiparveen0310@gmail.com) Heres an example of a well-known open-source Python project with good unit tests: requests . requests is a simple HTTP library for Python, and it has comprehensive unit tests that ensure its functionality. To see the unit tests in the requests project, you can look at their test suite on GitHub: GitHub repository: requests on GitHub Unit tests folder: tests/ in the repository Sat, 11 Jan 2025 08:11:15 -05002025-01-11T08:11:15-05:00/Support/Forum/integrations/unit-testing/1970.aspx#reply7081messageId=7082khushnuma khan (k86874248@gmail.com) One excellent open-source Python project with strong unit tests is Requests , a popular HTTP library. The project is well-maintained and features comprehensive unit tests that cover various HTTP request scenarios, error handling, and edge cases. The tests are written using the pytest framework, ensuring robust coverage and easy integration into continuous integration systems. The Requests repository on GitHub provides a clear structure for contributors and includes clear documentation on how to run and contribute to the tests. This makes it a great resource for learning how to write well-tested Python code while contributing to a popular project. Sat, 11 Jan 2025 09:48:53 -05002025-01-11T09:48:53-05:00/Support/Forum/integrations/unit-testing/1970.aspx#reply7082