alexanderquispe/Diplomado_PUCP
Aug 2025 – Sep 2025
2 Months active
Languages Used
MarkdownPythonCSVJupyter Notebook
Technical Skills
Data AnalysisDocumentationJupyter NotebooksPandasPythonBasic Functions
anarciso90
PROFILE
Anarciso90
Alfredo Narciso contributed to the alexanderquispe/Diplomado_PUCP repository by developing and refining educational materials focused on Python programming, data analysis, and reproducibility. Over two months, he created and updated Jupyter notebooks covering conditional logic, loops, and data merging, while also enhancing course documentation and cleaning the repository for maintainability. His work included practical demonstrations using Pandas for data manipulation and statistical analysis, as well as the integration of new datasets and environment setup instructions to ensure consistent execution. Alfredo’s contributions improved onboarding for new users and provided clear, hands-on examples, reflecting a solid grasp of Python, Pandas, and Jupyter workflows.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
17Total
Bugs
1
Commits
17
Features
7
Lines of code
1,774
Activity Months2
Your Network
43 people
Work History
September 2025
11 Commits • 5 Features
Sep 1, 2025September 2025 (2025-09) Monthly Summary for alexanderquispe/Diplomado_PUCP: Delivered practical learning modules and data-analysis enhancements to improve student outcomes and reproducibility. Key features include new and refined notebooks for Python conditionals and loops, a data merging and statistics module with inner-join examples and grouping by ESTRATO, and a new Presidential Election Results dataset with environment setup updates to ensure reproducibility. Added Assignment 3 resources (text document) to support group 11. Fixed repository cleanliness by removing macOS .DS_Store files and obsolete materials to reduce noise and maintenance overhead. Overall, these contributions improved hands-on learning experiences, established consistent execution environments, and reduced onboarding time for new contributors. Technologies demonstrated include Python, Jupyter notebooks, data loading, inner joins, grouping, and environment management (kernel specs, package installation).
11 Commits • 5 Features
Sep 1, 2025September 2025 (2025-09) Monthly Summary for alexanderquispe/Diplomado_PUCP: Delivered practical learning modules and data-analysis enhancements to improve student outcomes and reproducibility. Key features include new and refined notebooks for Python conditionals and loops, a data merging and statistics module with inner-join examples and grouping by ESTRATO, and a new Presidential Election Results dataset with environment setup updates to ensure reproducibility. Added Assignment 3 resources (text document) to support group 11. Fixed repository cleanliness by removing macOS .DS_Store files and obsolete materials to reduce noise and maintenance overhead. Overall, these contributions improved hands-on learning experiences, established consistent execution environments, and reduced onboarding time for new contributors. Technologies demonstrated include Python, Jupyter notebooks, data loading, inner joins, grouping, and environment management (kernel specs, package installation).
September 2025
August 2025
6 Commits • 2 Features
Aug 1, 2025In August 2025, two primary deliverables in Diplomado_PUCP advanced course quality and analytics capabilities: (1) Course materials and documentation updates, including creation and renaming of notes and notebooks, plus refinements to Lecture materials to improve organization and clarity; (2) Pandas Series data analysis enhancement with practical demonstrations of data manipulation (grades, statistics, and uppercase transformations) embedded in the assignments.
August 2025
6 Commits • 2 Features
Aug 1, 2025In August 2025, two primary deliverables in Diplomado_PUCP advanced course quality and analytics capabilities: (1) Course materials and documentation updates, including creation and renaming of notes and notebooks, plus refinements to Lecture materials to improve organization and clarity; (2) Pandas Series data analysis enhancement with practical demonstrations of data manipulation (grades, statistics, and uppercase transformations) embedded in the assignments.
Activity
Loading activity data...
Quality Metrics
Correctness91.6%
Maintainability91.6%
Architecture88.2%
Performance87.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJupyter NotebookMarkdownPython
Technical Skills
Basic FunctionsConditional StatementsControl FlowData AnalysisData CleaningData ManipulationData MergingDocumentationJupyter Notebook UsageJupyter NotebooksPackage ManagementPandasPythonPython ProgrammingStatistical Analysis
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline