
Worked on the COSC381-2025Winter/GradebookSystem repository, delivering a color theming system that introduced light and dark modes through a dedicated ColorTheme class and seamless UI integration for instructors. Applied object-oriented programming principles in Python to ensure maintainability and clarity, while reinforcing quality with expanded pytest coverage. Developed and validated tests for color outputs, input validation, and course selection scenarios, directly improving the reliability of grade processing workflows. Focused on both backend and front-end development, the work enhanced user experience with accessible UI theming and increased confidence in release readiness through comprehensive test-driven development and code-quality improvements.
April 2025 monthly summary for COSC381-2025Winter/GradebookSystem. Delivered a cohesive color theming system with light/dark modes, integrated into the main UI, and reinforced quality with expanded test coverage. Key features delivered include a ColorTheme class and UI integration for instructors, plus tests validating color outputs in light and dark modes. Major bugs fixed include correcting theme application and aligning tests for clear theme contrast. Expanded pytest coverage for main and gradebook functions, including input validation and course selection scenarios, increasing reliability of core workflows. Overall impact: improved user experience with accessible UI, more robust grade processing, and higher confidence in release readiness. Technologies/skills demonstrated: Python, pytest, UI integration, test-driven development, theming design, and code-quality improvements.
April 2025 monthly summary for COSC381-2025Winter/GradebookSystem. Delivered a cohesive color theming system with light/dark modes, integrated into the main UI, and reinforced quality with expanded test coverage. Key features delivered include a ColorTheme class and UI integration for instructors, plus tests validating color outputs in light and dark modes. Major bugs fixed include correcting theme application and aligning tests for clear theme contrast. Expanded pytest coverage for main and gradebook functions, including input validation and course selection scenarios, increasing reliability of core workflows. Overall impact: improved user experience with accessible UI, more robust grade processing, and higher confidence in release readiness. Technologies/skills demonstrated: Python, pytest, UI integration, test-driven development, theming design, and code-quality improvements.

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