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Cruz-Lav

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Cruz-lav

During January 2025, [Name] developed two reusable features for the QLAB-Courses/summer_python_econ repository, focusing on educational and practical tools. They created a multi-part Jupyter Notebook that introduces Python fundamentals and guides users through poverty data analysis, employing Pandas and NumPy for data cleaning, transformation, and economic indicator computation. Additionally, [Name] implemented a timezone conversion tool to facilitate time calculations between Lima and other cities, and designed a Mascot class to demonstrate object-oriented programming concepts and business logic. The work emphasized robust data processing, clear code structure, and traceability, reflecting a solid grasp of Python programming and data analysis techniques.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

4Total
Bugs
0
Commits
4
Features
2
Lines of code
1,756
Activity Months1

Work History

January 2025

4 Commits • 2 Features

Jan 1, 2025

January 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.

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

1 repo

Overview of all repositories you've contributed to across your timeline

QLAB-Courses/summer_python_econ

Jan 2025 Jan 2025
1 Month active

Languages Used

JSONJupyter NotebookPython

Technical Skills

Class DefinitionContainersData AnalysisData CleaningData StructuresData Transformation

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