alexanderquispe/Diplomado_PUCP
Sep 2025 – Sep 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Control FlowError HandlingJupyter NotebooksPython Programming
andreasF90
PROFILE
Andreasf90
Andrea updated the Assignment 3 Notebook in the alexanderquispe/Diplomado_PUCP repository, focusing on Python loop control flow and error handling within a Jupyter Notebook environment. She implemented practical examples using pass, continue, and break statements to guide students through user input handling and calculation logic. Her approach included robust input validation and exception handling, specifically addressing division by zero scenarios to prevent runtime errors. By aligning the content with course objectives, Andrea improved instructional clarity and student comprehension. The work demonstrated proficiency in Python programming, control flow constructs, and collaborative version control practices, contributing depth and practical value to the course material.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
304
Activity Months1
Your Network
40 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a focused update to Assignment 3 Notebook in alexanderquispe/Diplomado_PUCP, demonstrating Python loop control flow (pass, continue, break) with practical examples for user input and calculations. Implemented robust error handling and input validation, including division-by-zero scenarios. The update aligns with course objectives and improves instructional clarity and student learning outcomes.
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a focused update to Assignment 3 Notebook in alexanderquispe/Diplomado_PUCP, demonstrating Python loop control flow (pass, continue, break) with practical examples for user input and calculations. Implemented robust error handling and input validation, including division-by-zero scenarios. The update aligns with course objectives and improves instructional clarity and student learning outcomes.
September 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture60.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Control FlowError HandlingJupyter NotebooksPython Programming
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