Unit testing in Python is essential to ensure code reliability and promote a robust development process.

️ By systematically validating individual units of code, developers can identify errors early in the development cycle and prevent them from developing into more serious problems later.

Unit tests serve as a safety net and provide assurance that code changes do not inadvertently affect existing functionality.

They promote code maintainability by documenting expected behavior and serving as executable specifications for future reference.

With a comprehensive suite of unit tests, developers can iterate quickly, deploy with confidence, and deliver high-quality software that meets user expectations.

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