alexanderquispe/Diplomado_PUCP
Aug 2025 – Aug 2025
1 Month active
Languages Used
JSONJupyter NotebookMarkdownPython
Technical Skills
Data AnalysisData CorrectionData StructuresDocumentationJupyter NotebookNumPy
jakelinedelgado
PROFILE
Jakelinedelgado
Jakeline Delgado contributed to the alexanderquispe/Diplomado_PUCP repository by developing a Jupyter Notebook that demonstrates core data handling concepts using Python and NumPy. She implemented practical examples with dictionaries, tuples, and a summarization function for movie data, providing clear demonstrations of data structures and numerical operations. Jakeline also addressed data accuracy by correcting typographical errors throughout the notebook, ensuring professional and consistent documentation. Additionally, she expanded the project’s documentation by introducing a new section to guide future content additions. Her work improved code clarity, enhanced onboarding materials, and supported maintainability, reflecting a thoughtful approach to both engineering and documentation.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
256
Activity Months1
Your Network
43 people
Work History
August 2025
4 Commits • 2 Features
Aug 1, 2025For 2025-08, delivered tangible learning-content improvements in alexanderquispe/Diplomado_PUCP, including a Jupyter Notebook showcasing core data handling with dictionaries, tuples, a summarization function for movie data, and NumPy matrix usage; corrected typos in Jakeline across notebook content to uphold accuracy and professionalism; expanded documentation by adding a Favorite Movies 2 section with placeholders to guide future entries. This work increases code clarity, provides practical demonstrations for data structures and numerical operations, and improves documentation completeness, contributing to faster onboarding, higher-quality examples, and better maintainability.
4 Commits • 2 Features
Aug 1, 2025For 2025-08, delivered tangible learning-content improvements in alexanderquispe/Diplomado_PUCP, including a Jupyter Notebook showcasing core data handling with dictionaries, tuples, a summarization function for movie data, and NumPy matrix usage; corrected typos in Jakeline across notebook content to uphold accuracy and professionalism; expanded documentation by adding a Favorite Movies 2 section with placeholders to guide future entries. This work increases code clarity, provides practical demonstrations for data structures and numerical operations, and improves documentation completeness, contributing to faster onboarding, higher-quality examples, and better maintainability.
August 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance95.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPython
Technical Skills
Data AnalysisData CorrectionData StructuresDocumentationJupyter NotebookNumPyPython Programming
Repositories Contributed To
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