QLAB-Courses/summer_python_econ
Jan 2025 – Jan 2025
1 Month active
Languages Used
JSONJupyter NotebookPython
Technical Skills
Class DefinitionContainersData AnalysisData CleaningData StructuresData Transformation
Cruz-Lav
PROFILE
Cruz-lav
Contributed to the QLAB-Courses/summer_python_econ repository by developing two reusable features that enhance both educational content and practical tooling. Built a multi-part Jupyter Notebook focused on Python fundamentals and poverty data analysis, leveraging Pandas and NumPy for data cleaning, transformation, and economic indicator computation. Designed robust data processing steps to categorize poverty levels, supporting data literacy for learners. Additionally, implemented a timezone conversion tool using Python to handle time calculations between Lima and other cities, and introduced a Mascot class demonstrating object-oriented programming principles. All work emphasized code quality, traceability, and maintainability, with changes linked to tracked issues and commits.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
1,756
Activity Months1
Your Network
65 peopleWork History
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025 focused on delivering two high-value, reusable components in QLAB-Courses/summer_python_econ: an Educational Notebook for Python fundamentals paired with poverty data analysis, and a Timezone Conversion Tool with an accompanying Mascot class. These outcomes strengthen the learning platform, improve data literacy, and provide practical utilities for developers and learners.
4 Commits • 2 Features
Jan 1, 2025January 2025 focused on delivering two high-value, reusable components in QLAB-Courses/summer_python_econ: an Educational Notebook for Python fundamentals paired with poverty data analysis, and a Timezone Conversion Tool with an accompanying Mascot class. These outcomes strengthen the learning platform, improve data literacy, and provide practical utilities for developers and learners.
January 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookPython
Technical Skills
Class DefinitionContainersData AnalysisData CleaningData StructuresData TransformationData TypesJupyter NotebookNumPyObject-Oriented ProgrammingPandasPython ProgrammingTime Conversion
Repositories Contributed To
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