COSIMA/cosima-recipes
Nov 2025 – Dec 2025
2 Months active
Languages Used
Python
Technical Skills
Jupyter NotebookPythonPython programmingdata analysisscientific computingDask
Julia Neme
PROFILE
Julia Neme
Julia Neme developed and enhanced scientific data analysis workflows for the COSIMA/cosima-recipes repository, focusing on integrating MOM6 ocean model support into Jupyter notebooks. She implemented new features for meridional heat transport and geostrophic velocity estimation, adapting existing recipes and documentation to improve clarity and reproducibility for researchers. Leveraging Python, Dask, and Jupyter Notebook, Julia introduced parallel processing and streamlined variable handling, resulting in faster and more reliable data processing. Her work emphasized clear migration guidance from MOM5 to MOM6, robust documentation, and improved onboarding, delivering well-structured, maintainable notebooks that support advanced oceanographic analysis without major bug fixes required.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
30,726
Activity Months2
Your Network
63 people
Work History
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025 — COSIMA/cosima-recipes: Delivered two major features enabling MOM6 readiness and notebook enhancements. 1) MOM6 Adaptation and Documentation for Along-slope Velocities and True Zonal Mean Calculations: adapted recipes for MOM6, added MOM6-specific instructions, improved user guidance, and migration notes; updated variable mappings and kernel requirements; clearer notebook structure. Commits: 55ca3f965be633f2619b3e683c7348000a1fadc2; c68f33549fa43cfe9bb6201e459550fc5b0ffa75. 2) Cooking Lessons Notebook Enhancements with Dask Parallel Processing and Variable Handling Corrections: added Dask-based parallel processing, clarified explanations, and corrected variable handling. Commit: 18214485a7d3d932fda352493b18d20f31b8ec06. Major bugs fixed: none reported. Overall impact: improved MOM6 adoption support, clearer documentation, and faster, more reliable notebooks; improved reproducibility and performance for data-processing notebooks. Technologies/skills demonstrated: MOM6 integration and adaptation, Jupyter notebooks, Dask parallel processing, documentation and onboarding design, variable mappings and kernel requirements.
3 Commits • 2 Features
Dec 1, 2025December 2025 — COSIMA/cosima-recipes: Delivered two major features enabling MOM6 readiness and notebook enhancements. 1) MOM6 Adaptation and Documentation for Along-slope Velocities and True Zonal Mean Calculations: adapted recipes for MOM6, added MOM6-specific instructions, improved user guidance, and migration notes; updated variable mappings and kernel requirements; clearer notebook structure. Commits: 55ca3f965be633f2619b3e683c7348000a1fadc2; c68f33549fa43cfe9bb6201e459550fc5b0ffa75. 2) Cooking Lessons Notebook Enhancements with Dask Parallel Processing and Variable Handling Corrections: added Dask-based parallel processing, clarified explanations, and corrected variable handling. Commit: 18214485a7d3d932fda352493b18d20f31b8ec06. Major bugs fixed: none reported. Overall impact: improved MOM6 adoption support, clearer documentation, and faster, more reliable notebooks; improved reproducibility and performance for data-processing notebooks. Technologies/skills demonstrated: MOM6 integration and adaptation, Jupyter notebooks, Dask parallel processing, documentation and onboarding design, variable mappings and kernel requirements.
December 2025
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for COSIMA/cosima-recipes: Focused feature delivery with MOM6 notebook integration to improve meridional heat transport calculations and geostrophic velocity estimation, coupled with enhancements to notebook workflows and data loading for clearer, reproducible analyses. No major bugs reported this month; efforts centered on delivering high-value functionality and code quality upgrades that directly support researchers’ ability to perform accurate, MOM6-based ocean analyses.
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for COSIMA/cosima-recipes: Focused feature delivery with MOM6 notebook integration to improve meridional heat transport calculations and geostrophic velocity estimation, coupled with enhancements to notebook workflows and data loading for clearer, reproducible analyses. No major bugs reported this month; efforts centered on delivering high-value functionality and code quality upgrades that directly support researchers’ ability to perform accurate, MOM6-based ocean analyses.
Activity
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Quality Metrics
Correctness88.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
DaskJupyter NotebookPythonPython programmingdata analysisscientific computing
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