alexanderquispe/Diplomado_PUCP
Aug 2025 – Sep 2025
2 Months active
Languages Used
JSONJupyter NotebookMarkdownPython
Technical Skills
Data AnalysisData InspectionData LoadingDocumentationJupyter NotebookJupyter Notebook Management
SusanMontalvo81
PROFILE
Susanmontalvo81
Susan Montalvo developed interactive data analysis and learning resources for the alexanderquispe/Diplomado_PUCP repository over two months, focusing on both content creation and technical infrastructure. She built a curated Peruvian literary catalog in Markdown and designed introductory data analysis assignments using Python and pandas, establishing clear workflows for data exploration in Jupyter Notebooks. Susan enhanced repository maintainability by refining notebook structures and metadata, supporting reproducibility and onboarding. She also implemented interactive Python exercises with robust input validation and error handling, including division-by-zero and factorial logic, enabling learners to practice defensive programming and fundamental algorithms in a controlled, notebook-based environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
4
Lines of code
2,233
Activity Months2
Your Network
89 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for alexanderquispe/Diplomado_PUCP. Focused on delivering robust, instructor-led interactive exercises and strengthening error handling for interactive Python notebooks. Key features delivered: Added interactive Python notebook exercises 4 and 5 for part 1, emphasizing robust input validation, division-by-zero handling, and factorial computation using while loops. These changes enhance learner resilience to invalid input and edge cases while preserving a smooth learning flow. Major bugs fixed: No separate bug fixes reported this period; improvements primarily address input validation and error handling to reduce runtime errors during interactive sessions. Overall impact and accomplishments: Elevated course quality and reliability of interactive tasks, enabling learners to practice defensive programming and fundamental algorithms in a controlled notebook environment. This supports higher learner satisfaction, lower support overhead, and better preparation for real-world coding tasks. Technologies/skills demonstrated: Python programming, defensive programming, error handling, control flow (while loops), input validation, notebook-based learning, and version control (Git) evidenced by a descriptive commit that documents the new exercises.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for alexanderquispe/Diplomado_PUCP. Focused on delivering robust, instructor-led interactive exercises and strengthening error handling for interactive Python notebooks. Key features delivered: Added interactive Python notebook exercises 4 and 5 for part 1, emphasizing robust input validation, division-by-zero handling, and factorial computation using while loops. These changes enhance learner resilience to invalid input and edge cases while preserving a smooth learning flow. Major bugs fixed: No separate bug fixes reported this period; improvements primarily address input validation and error handling to reduce runtime errors during interactive sessions. Overall impact and accomplishments: Elevated course quality and reliability of interactive tasks, enabling learners to practice defensive programming and fundamental algorithms in a controlled notebook environment. This supports higher learner satisfaction, lower support overhead, and better preparation for real-world coding tasks. Technologies/skills demonstrated: Python programming, defensive programming, error handling, control flow (while loops), input validation, notebook-based learning, and version control (Git) evidenced by a descriptive commit that documents the new exercises.
September 2025
August 2025
9 Commits • 3 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on key features delivered, major improvements, impact, and technical skills demonstrated. Highlights how work translates to business value and product quality with a note on maintainability and learning outcomes.
August 2025
9 Commits • 3 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on key features delivered, major improvements, impact, and technical skills demonstrated. Highlights how work translates to business value and product quality with a note on maintainability and learning outcomes.
Activity
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Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture92.0%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPython
Technical Skills
Basic ArithmeticData AnalysisData Input/OutputData InspectionData LoadingDocumentationError HandlingJupyter NotebookJupyter Notebook ManagementLooping ConstructsPandasPythonPython Programming
Repositories Contributed To
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