alexanderquispe/Diplomado_PUCP
Aug 2025 – Sep 2025
2 Months active
Languages Used
JSONJupyter NotebookMarkdownPythonSQL
Technical Skills
Data AnalysisData StructuresDocumentationJupyter Notebook ManagementJupyter NotebooksNumPy
ulisesrodas
PROFILE
Ulisesrodas
During two months contributing to the alexanderquispe/Diplomado_PUCP repository, Alexander enhanced educational Jupyter Notebooks focused on Python and data analysis. He expanded notebook content with new examples, improved documentation, and introduced concepts such as identity operators, control flow, and basic object-oriented programming. Using Python, NumPy, and pandas, Alexander refined input handling to improve reliability and student experience, including robust input loops and clearer prompts. His work emphasized maintainable, learner-focused materials by updating Markdown documentation and ensuring content consistency. The depth of his contributions is reflected in the thoughtful integration of technical concepts and practical improvements to instructional workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
4
Lines of code
1,244
Activity Months2
Your Network
40 peopleWork History
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025 performance summary for alexanderquispe/Diplomado_PUCP: Delivered feature enhancements and input robustness improvements to the educational Jupyter notebooks used for data analysis and Python basics. Key work included: enhanced notebook content with expanded coverage for identity operators, nested if statements, NumPy-based loops, pandas data loading, data type conversions, and vectorized operations; addition of control flow and introductory OOP concepts via new code cells. Also improved input loop handling to ignore negative numbers, with refined prompts and updated test data to prevent unintended breaks. Impact includes richer instructional content, more reliable notebook execution, and improved student learning outcomes. Technologies demonstrated include Python, NumPy, pandas, and Jupyter Notebooks. Commit activity: updates across group_09_assignment2_2025.ipynb and group_09_assignment3_2025.ipynb (multiple commits).
4 Commits • 2 Features
Sep 1, 2025September 2025 performance summary for alexanderquispe/Diplomado_PUCP: Delivered feature enhancements and input robustness improvements to the educational Jupyter notebooks used for data analysis and Python basics. Key work included: enhanced notebook content with expanded coverage for identity operators, nested if statements, NumPy-based loops, pandas data loading, data type conversions, and vectorized operations; addition of control flow and introductory OOP concepts via new code cells. Also improved input loop handling to ignore negative numbers, with refined prompts and updated test data to prevent unintended breaks. Impact includes richer instructional content, more reliable notebook execution, and improved student learning outcomes. Technologies demonstrated include Python, NumPy, pandas, and Jupyter Notebooks. Commit activity: updates across group_09_assignment2_2025.ipynb and group_09_assignment3_2025.ipynb (multiple commits).
September 2025
August 2025
8 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for Diplomado_PUCP repository. Focused on elevating course materials and documentation to improve learning outcomes and maintainability. Delivered notebook content enhancements and expanded reference material in Markdown, aligning with the curriculum and cohort needs. The work emphasizes clear, actionable content and efficient collaboration for faster onboarding of future contributors.
August 2025
8 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for Diplomado_PUCP repository. Focused on elevating course materials and documentation to improve learning outcomes and maintainability. Delivered notebook content enhancements and expanded reference material in Markdown, aligning with the curriculum and cohort needs. The work emphasizes clear, actionable content and efficient collaboration for faster onboarding of future contributors.
Activity
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Quality Metrics
Correctness88.4%
Maintainability86.6%
Architecture80.0%
Performance80.0%
AI Usage21.6%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPythonSQL
Technical Skills
ClassesControl FlowData AnalysisData StructuresDocumentationFunctionsJupyter NotebookJupyter Notebook ManagementJupyter NotebooksNumPyObject-Oriented ProgrammingPandasPythonPython Programming
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline