pmgbergen/porepy
May 2026 – May 2026
1 Month active
Languages Used
Python
Technical Skills
Python developmentcode formattingdata modelingnumerical methodssoftware developmentsoftware maintenance
mikeljordan
PROFILE
Mikeljordan
Worked on the pmgbergen/porepy repository to deliver code quality improvements in the Physics Core, focusing on refactoring modules such as EffectivePermeability, Darcy's Law, and the energy balance model. The approach centered on standardizing variable naming and formatting to enhance readability and maintainability, reducing cognitive load for future contributors. Automated formatting tools and review-driven edits ensured consistent, lint-clean Python code throughout the core. By improving code structure and clarity, the work laid a foundation for faster feature development and easier onboarding. Technical skills applied included Python development, code formatting, and data modeling, with attention to software maintenance best practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
20
Activity Months1
Work History
May 2026
2 Commits • 1 Features
May 1, 2026For May 2026, delivered Code Quality Improvements in the Physics Core of porepy with refactors aimed at readability and maintainability. Key areas updated include EffectivePermeability, Darcy's Law, and the energy balance model, with standardized variable naming and formatting to reduce cognitive load and future maintenance costs. This groundwork enhances code health, supports faster feature development, and improves onboarding for new contributors. Automated formatting and review-driven edits were applied to ensure lint-clean, consistent code in the core module.
2 Commits • 1 Features
May 1, 2026For May 2026, delivered Code Quality Improvements in the Physics Core of porepy with refactors aimed at readability and maintainability. Key areas updated include EffectivePermeability, Darcy's Law, and the energy balance model, with standardized variable naming and formatting to reduce cognitive load and future maintenance costs. This groundwork enhances code health, supports faster feature development, and improves onboarding for new contributors. Automated formatting and review-driven edits were applied to ensure lint-clean, consistent code in the core module.
May 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Python developmentcode formattingdata modelingnumerical methodssoftware developmentsoftware maintenance
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