Over two months, Alexander Quispe enhanced the alexanderquispe/Diplomado_PUCP repository by delivering 14 features and resolving 2 bugs, focusing on reproducible workflows and collaborative data science. He reorganized Jupyter Notebooks for Grupo 05 assignments, standardized naming conventions, and implemented environment isolation using Python 3.13.5 to ensure consistent execution. Alexander streamlined evidence management by consolidating draft and final notebooks, reducing duplication, and improving traceability. He contributed solutions for programming and data manipulation exercises, integrated web scraping scripts with dotenv for environment management, and maintained clear documentation. His work demonstrated depth in Python, version control with Git, and data engineering best practices.
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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