flipoyo/MOLONARI1D
Oct 2025 – Nov 2025
2 Months active
Languages Used
PythonMarkdown
Technical Skills
Jupyter NotebookPandasPythonPython programmingdata analysisdata cleaning
Bastien Avrillon
PROFILE
Bastien Avrillon
Contributed to the flipoyo/MOLONARI1D repository by developing a non-dimensionalization framework for stratified linear systems and enhancing environmental modeling workflows. Leveraging Python, Jupyter Notebook, and Pandas, implemented modules for dimensionless parameterization, data preprocessing, and error analysis to improve model readiness and reliability. Optimized time series data processing for faster retrieval and streamlined notebook execution, while refining hydrodynamics and heat transfer modeling with automated parameter calculations and boundary-condition updates. Addressed technical debt through code cleanup, documentation improvements, and removal of deprecated notebooks. The work emphasized robust data handling, maintainable scientific computing practices, and expanded modeling capabilities for scenario analysis.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
21Total
Bugs
1
Commits
21
Features
6
Lines of code
20,853
Activity Months2
Your Network
65 peopleSame Organization
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Shared Repositories
45
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alexandrenoel20Member
Antoine de La RoncièreMember
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Aurélie ReynaudMember
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Clément GoujonMember
Work History
November 2025
11 Commits • 3 Features
Nov 1, 2025November 2025 (2025-11) monthly summary for flipoyo/MOLONARI1D. Delivered performance-focused enhancements and maintainability improvements across time series data processing, notebook hygiene, and hydrodynamics/heat transfer modeling framework. Key business value includes faster data workflows, reduced technical debt, and expanded modeling capabilities enabling quicker scenario analysis and more reliable parameter studies. No major bug fixes were recorded this month; the focus was on feature delivery and code quality, documentation, and team onboarding support.
11 Commits • 3 Features
Nov 1, 2025November 2025 (2025-11) monthly summary for flipoyo/MOLONARI1D. Delivered performance-focused enhancements and maintainability improvements across time series data processing, notebook hygiene, and hydrodynamics/heat transfer modeling framework. Key business value includes faster data workflows, reduced technical debt, and expanded modeling capabilities enabling quicker scenario analysis and more reliable parameter studies. No major bug fixes were recorded this month; the focus was on feature delivery and code quality, documentation, and team onboarding support.
November 2025
October 2025
10 Commits • 3 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on feature delivery, bug fixes, impact, and technical proficiency for flipoyo/MOLONARI1D. Emphasis on business value through robust non-dimensionalization, data preprocessing, and reliable notebook workflows, plus targeted performance improvements.
October 2025
10 Commits • 3 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on feature delivery, bug fixes, impact, and technical proficiency for flipoyo/MOLONARI1D. Emphasis on business value through robust non-dimensionalization, data preprocessing, and reliable notebook workflows, plus targeted performance improvements.
Activity
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Quality Metrics
Correctness85.8%
Maintainability85.6%
Architecture82.8%
Performance82.8%
AI Usage26.6%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
JupyterJupyter NotebookPandasPythonPython programmingdata analysisdata cleaningdata visualizationdebuggingdocumentationenvironmental modelingmachine learningmathematical modelingnumerical methodsperformance testing
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