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 demonstrating Python loop control flow using pass, continue, and break statements within practical user input and calculation scenarios. She implemented robust error handling and input validation, addressing issues such as division by zero to ensure reliable execution and clear instructional examples. The work was carried out in Jupyter Notebook using Python, with careful attention to aligning the content with course objectives for improved student comprehension. Andrea collaborated on the update, utilizing Git for version control and emphasizing maintainable, well-documented code that supports effective learning 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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