Collaborative Data Science
Code review checklists are structured documents that provide a systematic way to evaluate code changes for quality, correctness, and adherence to best practices during the code review process. These checklists help reviewers focus on essential aspects of the code, ensuring that critical components are not overlooked and that the code meets the team's standards.
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