Contributed to the alexanderquispe/Diplomado_PUCP repository by delivering 14 features and resolving 2 bugs over two months, focusing on Jupyter Notebook organization, environment configuration, and workflow improvements for group assignments. Work included cleaning up lecture materials, standardizing naming conventions, and establishing isolated Python environments to ensure reproducibility and clarity. Enhanced collaboration by maintaining clear commit histories and consolidating evidence for assignments, while also implementing web scraping scripts and updating project scaffolding with requirements management. Utilized Python, Bash, and SQL alongside tools like NumPy and Pandas, demonstrating strengths in data engineering, version control, and documentation to streamline project delivery and maintenance.
September 2025 performance snapshot for alexanderquispe/Diplomado_PUCP: Delivered substantial notebook organization and workflow improvements for Grupo 05 Assignment 3, including moving the final notebook to root, preparing borrador evidence, recovering evidence, and removing duplicates. Established Part 2 readiness by creating group_5_assignment3_2025 and adding Part 2 notebooks (02_part2_vivi.ipynb and 02_part2_vivi_v1), plus finalizing references for #1831 across related commits to achieve a clean main with borrador and final notebooks. Expanded project scaffolding with Web Scrapping enhancements (env example and script) and Lecture 7 directory reorganizations, including README updates and a dedicated requirements.txt. These changes enhance reproducibility, collaboration, and maintainability, reduce duplication, and align deliverables with the #1831 workflow and broader course objectives.
September 2025 performance snapshot for alexanderquispe/Diplomado_PUCP: Delivered substantial notebook organization and workflow improvements for Grupo 05 Assignment 3, including moving the final notebook to root, preparing borrador evidence, recovering evidence, and removing duplicates. Established Part 2 readiness by creating group_5_assignment3_2025 and adding Part 2 notebooks (02_part2_vivi.ipynb and 02_part2_vivi_v1), plus finalizing references for #1831 across related commits to achieve a clean main with borrador and final notebooks. Expanded project scaffolding with Web Scrapping enhancements (env example and script) and Lecture 7 directory reorganizations, including README updates and a dedicated requirements.txt. These changes enhance reproducibility, collaboration, and maintainability, reduce duplication, and align deliverables with the #1831 workflow and broader course objectives.
Month: 2025-08 | Major bugs fixed: none reported this month. Key features delivered include: 1) Lecture 2 material cleanup and environment configuration with an isolated Python environment 'envvivi' (Python 3.13.5) to improve reproducibility and clarity of notebook execution. 2) Exercise solutions for programming basics and data manipulation (Parte2b): notebook solutions with test cases, NumPy operations, and conditional statements. 3) Notebook organization and naming convention standardization: created a dedicated Group 05 folder, moved notebooks to correct locations, and standardized final naming (e.g., Susan_Esteban_part1, Vivi_part2). Overall impact: improved course readiness for learners, reduced setup friction, and clearer ownership with traceable commits. Technologies/skills demonstrated: Python 3.13.5 environment management, Jupyter notebooks, NumPy, test coverage, and disciplined version-control hygiene with clear commit messages.
Month: 2025-08 | Major bugs fixed: none reported this month. Key features delivered include: 1) Lecture 2 material cleanup and environment configuration with an isolated Python environment 'envvivi' (Python 3.13.5) to improve reproducibility and clarity of notebook execution. 2) Exercise solutions for programming basics and data manipulation (Parte2b): notebook solutions with test cases, NumPy operations, and conditional statements. 3) Notebook organization and naming convention standardization: created a dedicated Group 05 folder, moved notebooks to correct locations, and standardized final naming (e.g., Susan_Esteban_part1, Vivi_part2). Overall impact: improved course readiness for learners, reduced setup friction, and clearer ownership with traceable commits. Technologies/skills demonstrated: Python 3.13.5 environment management, Jupyter notebooks, NumPy, test coverage, and disciplined version-control hygiene with clear commit messages.
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