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
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. The work emphasized student-facing content, including practical exercises and clear documentation to support learning. Leveraging Python and JSON, the developer implemented core concepts such as data structures, control flow, and class definitions, while also addressing real-world tasks like CSV data cleaning and analysis. Each notebook was structured to reinforce algorithmic thinking and hands-on application, with updates to metadata enhancing course usability. No bugs were reported, reflecting careful attention to detail and a methodical, educational approach.
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
84 peopleWork 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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