alexanderquispe/Diplomado_PUCP
Sep 2025 – Sep 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Control FlowError HandlingJupyter NotebooksPython Programming
andreasF90
PROFILE
Andreasf90
Contributed to the alexanderquispe/Diplomado_PUCP repository by updating the Assignment 3 Jupyter Notebook to enhance instructional clarity around Python loop control flow. Developed practical examples demonstrating the use of pass, continue, and break statements within loops, focusing on user input handling and calculation scenarios. Incorporated robust error handling and input validation, including safeguards against division by zero, to align with course objectives and improve student comprehension. Collaborated on the update using Git version control, ensuring traceability and teamwork. The work showcased proficiency in Python programming, Jupyter Notebooks, and exception handling, delivering a targeted feature that supports educational outcomes.
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 peopleWork 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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