QLAB-Courses/summer_python_econ
Jan 2025 – Jan 2025
1 Month active
Languages Used
CSVJSONJupyter NotebookMarkdownPython
Technical Skills
Basic OperationsClassesConditional StatementsData AnalysisData CleaningData Management
1DanielFP
PROFILE
1danielfp
Contributed to the QLAB-Courses/summer_python_econ repository by reorganizing legacy assignments and directories to streamline project structure and improve maintainability. Developed and expanded hands-on learning materials, including new Jupyter notebooks covering Python basics, NumPy operations, and data types, supporting more effective onboarding for learners. Updated the location dataset to enhance the accuracy of mapping features, integrating data cleaning and management practices. Demonstrated proficiency in Python, Pandas, and object-oriented programming while maintaining clear documentation and commit hygiene. The work focused on maintainability, content expansion, and data reliability, resulting in a clearer codebase and richer educational resources for future development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
3
Lines of code
258,013
Activity Months1
Your Network
65 peopleWork History
January 2025
14 Commits • 3 Features
Jan 1, 2025January 2025 monthly summary for QLAB-Courses/summer_python_econ: Maintainability and content expansion drive improvements. Key features: 1) Archival and reorganization of legacy assignments to streamline maintenance. 2) New and expanded learning assignments and notebooks covering Python basics, NumPy, and data types. 3) Location data update for the mapping feature to improve accuracy. No explicit bug-fix sprint; minor data corrections included in updates. Impact: clearer project structure, richer hands-on materials, and more reliable mapping outputs, enabling faster onboarding and better learner outcomes. Technologies/skills demonstrated: Python, NumPy, Pandas basics, OOP concepts, notebook-driven development, and Git version control.
14 Commits • 3 Features
Jan 1, 2025January 2025 monthly summary for QLAB-Courses/summer_python_econ: Maintainability and content expansion drive improvements. Key features: 1) Archival and reorganization of legacy assignments to streamline maintenance. 2) New and expanded learning assignments and notebooks covering Python basics, NumPy, and data types. 3) Location data update for the mapping feature to improve accuracy. No explicit bug-fix sprint; minor data corrections included in updates. Impact: clearer project structure, richer hands-on materials, and more reliable mapping outputs, enabling faster onboarding and better learner outcomes. Technologies/skills demonstrated: Python, NumPy, Pandas basics, OOP concepts, notebook-driven development, and Git version control.
January 2025
Activity
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Quality Metrics
Correctness92.8%
Maintainability92.8%
Architecture91.4%
Performance91.4%
AI Usage21.4%
Skills & Technologies
Programming Languages
CSVJSONJupyter NotebookMarkdownPython
Technical Skills
Basic OperationsClassesConditional StatementsData AnalysisData CleaningData ManagementData StructuresData TypesData UpdateDictionariesDictionary ManipulationFile ManagementFile OrganizationFunctionsJupyter Notebook
Repositories Contributed To
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