
Developed and finalized convection modeling capabilities for the z-the-turtle/Projet_CREPES repository, focusing on 1D convection simulations with integrated power calculations. The work emphasized Python module organization, code refactoring, and comprehensive documentation to ensure reproducibility and maintainability. By restructuring project scaffolding, managing sources, and cleaning up legacy files, the codebase was streamlined for collaborative scientific computing. Updates included renaming and reorganizing models, diagrams, and assets to improve clarity and consistency. The approach combined numerical simulation, data modeling, and scripting, resulting in a robust foundation for future power-aware convection research and more efficient feature delivery within the project.
June 2025: Implemented convection modelling capabilities and strengthened project hygiene to support reproducible simulations and faster feature delivery. Key features delivered include convection modelling module, 1D convection modelling updates with finalization, 1D convection with power calculations, project scaffolding and uploads, and sources management for codes. Major bugs fixed include removal of obsolete convection files, cleanup/rename of convection diagrams and assets, and deletion of legacy convection hiver file. Impact: cleaner codebase, improved naming consistency, and a solid foundation for power-aware convection work. Technologies/skills demonstrated: Python module organization, code refactoring, documentation updates, and Git-based collaboration.
June 2025: Implemented convection modelling capabilities and strengthened project hygiene to support reproducible simulations and faster feature delivery. Key features delivered include convection modelling module, 1D convection modelling updates with finalization, 1D convection with power calculations, project scaffolding and uploads, and sources management for codes. Major bugs fixed include removal of obsolete convection files, cleanup/rename of convection diagrams and assets, and deletion of legacy convection hiver file. Impact: cleaner codebase, improved naming consistency, and a solid foundation for power-aware convection work. Technologies/skills demonstrated: Python module organization, code refactoring, documentation updates, and Git-based collaboration.

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