QLAB-Courses/summer_python_econ
Jan 2025 – Jan 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Algorithm ImplementationBasic Input/OutputConditional LogicData AnalysisJupyter NotebookJupyter Notebooks
Pablo Surco
PROFILE
Pablo Surco
During January 2025, this developer contributed to the QLAB-Courses/summer_python_econ repository by delivering two user-focused features that enhanced both functionality and educational value. They implemented a voting eligibility checker using Python and Jupyter Notebook, applying conditional logic and basic input/output to prompt users for their age and determine eligibility. Additionally, they enriched notebook learning materials by demonstrating practical array operations with Numpy and introducing time conversion utilities, supporting hands-on learning and code reuse. Their work emphasized clear documentation and code quality, with no major bugs reported, reflecting a focus on robust feature delivery and continuous improvement of instructional content.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
267
Activity Months1
Your Network
84 peopleWork History
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025: Focused feature delivery and learning-content improvements for QLAB-Courses/summer_python_econ, delivering tangible business value and demonstrable technical achievements. The work centers on a user-facing voting eligibility checker and enhanced notebook materials that include practical array operations demonstrations and time utilities, reinforcing hands-on learning and code reuse.
3 Commits • 2 Features
Jan 1, 2025January 2025: Focused feature delivery and learning-content improvements for QLAB-Courses/summer_python_econ, delivering tangible business value and demonstrable technical achievements. The work centers on a user-facing voting eligibility checker and enhanced notebook materials that include practical array operations demonstrations and time utilities, reinforcing hands-on learning and code reuse.
January 2025
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture80.0%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Algorithm ImplementationBasic Input/OutputConditional LogicData AnalysisJupyter NotebookJupyter NotebooksNumpyPython Programming
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline