flipoyo/MOLONARI1D
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
Jupyter Notebookdata analysisdata sciencemathematicsnumerical analysisnumerical methods
Rafaël Leclerc
PROFILE
Rafaël Leclerc
Rafael Leclerc developed two core features for the flipoyo/MOLONARI1D repository, focusing on advancing hydraulic modeling through scientific computing. He created a Jupyter Notebook that non-dimensionalizes hydraulic equations, standardizing scales to improve both efficiency and accuracy in solving the hydraulic charge equation. Rafael also enhanced the discretization of hydraulic temperature equations by incorporating advection terms and implementing the Crank-Nicolson time-stepping scheme, which supports more precise parameter determination from temperature profiles. His work demonstrated depth in Python, numerical analysis, and mathematical modeling, resulting in sharper numerical stability and faster parameter estimation for more reliable hydraulic system design and analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
361
Activity Months1
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Work History
October 2025
3 Commits • 2 Features
Oct 1, 20252025-10 Monthly Review: Delivered two core features in flipoyo/MOLONARI1D to advance hydraulic modeling: (1) Hydraulic equation non-dimensionalization notebook to standardize scales, improve efficiency, and increase accuracy in solving the hydraulic charge equation, with detailed formulations and discretization guidance. (2) Enhanced discretization for hydraulic temperature equations, incorporating advection terms and Crank-Nicolson time-stepping to improve accuracy and support parameter determination from temperature profiles. No major bugs fixed in this period based on available data. Impact: sharper numerical stability and faster parameter estimation, enabling more reliable design and analysis of hydraulic systems. Skills showcased: Python, Jupyter notebook-based documentation, non-dimensional analysis, advection-aware discretization, Crank-Nicolson scheme, and numerical methods for hydraulic modeling.
3 Commits • 2 Features
Oct 1, 20252025-10 Monthly Review: Delivered two core features in flipoyo/MOLONARI1D to advance hydraulic modeling: (1) Hydraulic equation non-dimensionalization notebook to standardize scales, improve efficiency, and increase accuracy in solving the hydraulic charge equation, with detailed formulations and discretization guidance. (2) Enhanced discretization for hydraulic temperature equations, incorporating advection terms and Crank-Nicolson time-stepping to improve accuracy and support parameter determination from temperature profiles. No major bugs fixed in this period based on available data. Impact: sharper numerical stability and faster parameter estimation, enabling more reliable design and analysis of hydraulic systems. Skills showcased: Python, Jupyter notebook-based documentation, non-dimensional analysis, advection-aware discretization, Crank-Nicolson scheme, and numerical methods for hydraulic modeling.
October 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability80.0%
Architecture86.6%
Performance80.0%
AI Usage26.6%
Skills & Technologies
Programming Languages
Python
Technical Skills
Jupyter Notebookdata analysisdata sciencemathematicsnumerical analysisnumerical methodsscientific computing
Repositories Contributed To
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