alexanderquispe/Diplomado_PUCP
Aug 2025 – Sep 2025
2 Months active
Languages Used
Jupyter NotebookPython
Technical Skills
Data TypesFunctionsListsMatricesNumPyTuples
valentinalinares
PROFILE
Valentinalinares
Durga Linares contributed to the alexanderquispe/Diplomado_PUCP repository by developing a feature-rich movie summary function and NumPy-based matrix utilities, focusing on safe data handling and practical analytics. She enhanced Jupyter notebooks with educational tutorials, refactored Python loops, and improved data loading and filtering through Pandas vectorization. Her work included introducing sections on functions and classes to support pedagogy and maintaining repository hygiene by removing non-code artifacts. Using Python, NumPy, and Pandas, Durga demonstrated a methodical approach to both feature development and codebase maintenance, resulting in higher-quality teaching materials and more robust, efficient data manipulation examples for learners.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
2
Lines of code
1,171
Activity Months2
Your Network
43 people
Work History
September 2025
7 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for alexanderquispe/Diplomado_PUCP: Key features delivered include Notebook Content Enhancements and Educational Tutorials with refactoring to improve Python loops, data loading and filtering via Pandas vectorization, and the introduction of Functions and Classes sections to support pedagogy. A major repository hygiene improvement was completed by removing an accidental macOS .DS_Store file in Lecture_2/Assignment_2 to prevent non-code noise in diffs. Overall impact: higher-quality teaching notebooks, faster and more robust data handling in examples, and a cleaner codebase with reduced risk of non-code artifacts affecting collaboration. Technologies and skills demonstrated: Python, Jupyter notebooks, Pandas vectorization, code refactoring, educational content design, and repository hygiene practices.
7 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for alexanderquispe/Diplomado_PUCP: Key features delivered include Notebook Content Enhancements and Educational Tutorials with refactoring to improve Python loops, data loading and filtering via Pandas vectorization, and the introduction of Functions and Classes sections to support pedagogy. A major repository hygiene improvement was completed by removing an accidental macOS .DS_Store file in Lecture_2/Assignment_2 to prevent non-code noise in diffs. Overall impact: higher-quality teaching notebooks, faster and more robust data handling in examples, and a cleaner codebase with reduced risk of non-code artifacts affecting collaboration. Technologies and skills demonstrated: Python, Jupyter notebooks, Pandas vectorization, code refactoring, educational content design, and repository hygiene practices.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08 — Key outcomes in alexanderquispe/Diplomado_PUCP. Delivered a feature-rich Movie Summary function and supporting NumPy utilities with an emphasis on safe data handling and practical analytics. No major bugs reported this month.
August 2025
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08 — Key outcomes in alexanderquispe/Diplomado_PUCP. Delivered a feature-rich Movie Summary function and supporting NumPy utilities with an emphasis on safe data handling and practical analytics. No major bugs reported this month.
Activity
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Quality Metrics
Correctness80.0%
Maintainability75.2%
Architecture70.0%
Performance76.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Conditional LogicData AnalysisData ManipulationData TypesFunction DefinitionFunctionsJupyter NotebookJupyter NotebooksListsMatricesNumPyObject-Oriented ProgrammingPandasPythonPython Programming
Repositories Contributed To
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