How can you ensure that your optimizations do not introduce errors into a Python program?
- a) Avoid code reviews to prevent introducing errors.
- b) Write extensive comments to explain the code.
- c) Use automated tests and unit tests to verify correctness.
- d) Optimize without testing as testing can be time-consuming.
To ensure that optimizations do not introduce errors, automated tests and unit tests (c) are crucial. Code reviews (a) are important but are meant for catching issues, not avoiding them altogether. Writing comments (b) is a good practice for code documentation but doesn't ensure correctness. Skipping testing (d) can lead to unforeseen issues, and testing is an essential part of the optimization process.
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