
Contributed to the alexanderquispe/Diplomado_PUCP repository by developing educational Jupyter Notebooks and supporting documentation to enhance data analysis instruction. Delivered features such as variable type demonstrations, NumPy matrix calculations, and a comprehensive data processing workflow involving CSV loading, data merging, aggregation, and statistical analysis using Python and Pandas. Updated the runtime environment to Python 3.12.7 for compatibility with modern libraries and created new assignment materials focused on control flow, error handling, and class usage. Addressed a notebook bug related to loop indentation, ensuring reliable execution. Emphasized reproducibility, clear documentation, and maintainable instructional resources throughout the work.
2025-09 Monthly Summary — alexanderquispe/Diplomado_PUCP Key features delivered - Notebook data loading, merging, and analysis workflow: Implemented a robust Jupyter Notebook workflow to read CSV files with specified encodings, handle mixed data types, convert data types, update specific column values, merge datasets on common keys, perform aggregations via groupby, calculate statistical indicators, and filter dictionary data with a for loop. Commits: 0674f1a59fc7150b935031f82ce678d28a9267c9 (Rossana_Assig2). - Notebook environment alignment to Python 3.12.7: Updated Lecture_2.ipynb runtime to 3.12.7 for compatibility with newer libraries; two commits addressing upgrade and conflict resolution. Commits: 930bcc770cca101adff0b42fb3be55f70a212a3a and c3f8548c3f8b6eb390952d310094bed5dd9e68ec. - Add Group 09 Assignment 3 materials: Added placeholder assignment document and a new Assignment 3 notebook with exercises on control flow, error handling, loops, functions, and classes. Commits: dd35c7467e6ec2e662df9870a093984fe0d652c4 and 52ad33273247c24b5cf2455c77dcaf890dc4a612. Major bugs fixed - Notebook loop and factorial enhancements; bug fix: Refined Python loop examples, refactored continue usage, and resolved an indentation error in a prior if statement in Group_09_assignment3_2025 notebook. Commit: 0c58edb3ee54103ebee7bea987efef0dd676a57f. Overall impact and accomplishments - Elevated teaching and learning outcomes by delivering a cohesive data processing workflow, up-to-date execution environment, and new practice resources. Reduced setup friction, improved reproducibility, and enabled scalable student exercises aligned with modern Python practices. The work supports ongoing curriculum delivery and easier maintenance of notebooks and course materials. Technologies/skills demonstrated - Python 3.12 compatibility, Jupyter Notebooks, and data processing concepts (CSV I/O with encodings, data type handling, merges, groupby, aggregations, statistical indicators) - Control flow, error handling, loops, functions, and classes in instructional materials - Git/version control discipline with clear, traceable commits - Documentation and resource creation for instructional reuse
2025-09 Monthly Summary — alexanderquispe/Diplomado_PUCP Key features delivered - Notebook data loading, merging, and analysis workflow: Implemented a robust Jupyter Notebook workflow to read CSV files with specified encodings, handle mixed data types, convert data types, update specific column values, merge datasets on common keys, perform aggregations via groupby, calculate statistical indicators, and filter dictionary data with a for loop. Commits: 0674f1a59fc7150b935031f82ce678d28a9267c9 (Rossana_Assig2). - Notebook environment alignment to Python 3.12.7: Updated Lecture_2.ipynb runtime to 3.12.7 for compatibility with newer libraries; two commits addressing upgrade and conflict resolution. Commits: 930bcc770cca101adff0b42fb3be55f70a212a3a and c3f8548c3f8b6eb390952d310094bed5dd9e68ec. - Add Group 09 Assignment 3 materials: Added placeholder assignment document and a new Assignment 3 notebook with exercises on control flow, error handling, loops, functions, and classes. Commits: dd35c7467e6ec2e662df9870a093984fe0d652c4 and 52ad33273247c24b5cf2455c77dcaf890dc4a612. Major bugs fixed - Notebook loop and factorial enhancements; bug fix: Refined Python loop examples, refactored continue usage, and resolved an indentation error in a prior if statement in Group_09_assignment3_2025 notebook. Commit: 0c58edb3ee54103ebee7bea987efef0dd676a57f. Overall impact and accomplishments - Elevated teaching and learning outcomes by delivering a cohesive data processing workflow, up-to-date execution environment, and new practice resources. Reduced setup friction, improved reproducibility, and enabled scalable student exercises aligned with modern Python practices. The work supports ongoing curriculum delivery and easier maintenance of notebooks and course materials. Technologies/skills demonstrated - Python 3.12 compatibility, Jupyter Notebooks, and data processing concepts (CSV I/O with encodings, data type handling, merges, groupby, aggregations, statistical indicators) - Control flow, error handling, loops, functions, and classes in instructional materials - Git/version control discipline with clear, traceable commits - Documentation and resource creation for instructional reuse
Concise monthly summary for 2025-08 highlighting key features delivered, major fixes (none reported), overall impact, and technologies demonstrated for the alexanderquispe/Diplomado_PUCP repository.
Concise monthly summary for 2025-08 highlighting key features delivered, major fixes (none reported), overall impact, and technologies demonstrated for the alexanderquispe/Diplomado_PUCP repository.

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