QLAB-Courses/summer_python_econ
Jan 2025 – Jan 2025
1 Month active
Languages Used
JSONJupyter NotebookPython
Technical Skills
Algorithmic ThinkingBasic ArithmeticControl FlowData AnalysisData CleaningData Manipulation
Gustavo Quijano
PROFILE
Gustavo Quijano
Gabriel Quijano developed three feature-rich Jupyter notebooks for the QLAB-Courses/summer_python_econ repository, focusing on foundational Python programming, data manipulation with Pandas, and object-oriented design. His work introduced student-facing content and exercises that reinforced algorithmic thinking, control flow, and data structure fundamentals. Leveraging Python and JSON, Gabriel implemented practical examples such as a Mascot discount feature and CSV data handling, ensuring the material was both accessible and scalable for course delivery. The notebooks emphasized clean documentation and modular code, with no reported defects, reflecting careful attention to quality and usability in educational settings. All features were delivered within one month.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
5,423
Activity Months1
Your Network
65 people
Work History
January 2025
4 Commits • 3 Features
Jan 1, 2025January 2025 monthly delivery focused on producing three feature notebooks for QLAB-Courses/summer_python_econ, covering Python basics, data manipulation with Pandas, and object‑oriented components including a Mascot discount feature. The work includes student-facing content, exercises, and metadata updates to improve course usability and scalability. No major defects were reported; commits were consolidated around the three assignments, reinforcing core topics and practical application.
4 Commits • 3 Features
Jan 1, 2025January 2025 monthly delivery focused on producing three feature notebooks for QLAB-Courses/summer_python_econ, covering Python basics, data manipulation with Pandas, and object‑oriented components including a Mascot discount feature. The work includes student-facing content, exercises, and metadata updates to improve course usability and scalability. No major defects were reported; commits were consolidated around the three assignments, reinforcing core topics and practical application.
January 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture85.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookPython
Technical Skills
Algorithmic ThinkingBasic ArithmeticControl FlowData AnalysisData CleaningData ManipulationData StructuresData TypesDictionary OperationsDocumentationList ManipulationObject-Oriented ProgrammingPandasPython ProgrammingTuple Operations
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