QLAB-Courses/summer_python_econ
Jan 2025 – Jan 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Basic OperationsClassesControl FlowData AnalysisData CleaningData Loading
Sheylabz
PROFILE
Sheylabz
During January 2025, a20196509@pucp.edu.pe developed three foundational Jupyter Notebooks for the QLAB-Courses/summer_python_econ repository, focusing on Python basics, data manipulation, and object-oriented programming. Their work introduced essential Python data types, control flow, and practical data analysis using Pandas, with an emphasis on clear documentation and modular code structure. By establishing reusable templates for assignments and integrating data loading and cleaning workflows, they enabled scalable onboarding for students and instructors. The notebooks leveraged Python and NumPy to teach both functional and object-oriented concepts, providing a solid baseline for future course content while maintaining a clean, defect-free codebase throughout the development period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
3
Lines of code
3,761
Activity Months1
Your Network
65 people
Work History
January 2025
6 Commits • 3 Features
Jan 1, 2025In January 2025, the QLAB-Courses team delivered three foundational notebooks for the summer_python_econ track, establishing core Python fundamentals, practical data manipulation with Pandas, and the groundwork for functional programming and object-oriented concepts. No major defects were reported; work focused on feature delivery, documentation, and code organization to enable scalable onboarding and faster content iteration. These efforts create a solid baseline for student progress tracking and instructor tooling, and position the course for upcoming assignments and assessments.
6 Commits • 3 Features
Jan 1, 2025In January 2025, the QLAB-Courses team delivered three foundational notebooks for the summer_python_econ track, establishing core Python fundamentals, practical data manipulation with Pandas, and the groundwork for functional programming and object-oriented concepts. No major defects were reported; work focused on feature delivery, documentation, and code organization to enable scalable onboarding and faster content iteration. These efforts create a solid baseline for student progress tracking and instructor tooling, and position the course for upcoming assignments and assessments.
January 2025
Activity
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Quality Metrics
Correctness83.4%
Maintainability83.4%
Architecture76.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Basic OperationsClassesControl FlowData AnalysisData CleaningData LoadingData TypesFunctionsJupyter NotebookJupyter NotebooksNumPyObject-Oriented ProgrammingPandasPython Programming
Repositories Contributed To
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