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Conclusion Python: Automated testing

Testing is an essential tool for developing high-quality software. It allows you to detect errors and inconsistencies in the code at the early stages of development and improve its architecture and design.

In this course, we studied the basic concepts and tools for testing in Python, such as statements, the Pytest framework, unit tests, fixtures, test coverage, test-driven development, and continuous integration. The knowledge and skills you've acquired will help you create high-quality and reliable software. Don't forget to use testing at all stages of development and follow good practices.

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