COSIMA/cosima-recipes
Oct 2025 – Oct 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
DaskData AnalysisData VisualizationPythonScientific ComputingXarray
Noah Day
PROFILE
Noah Day
Worked on the COSIMA/cosima-recipes repository to refactor and standardize Sea Ice Coordinates handling, focusing on removing dependency fragility and improving model interoperability. The approach involved eliminating the CFxarray dependency and updating the Sea Ice Coordinates notebook to use native xarray operations, which enabled model-agnostic data analysis. Data loading and coordinate handling were refined to align with common scientific computing practices, increasing compatibility with downstream analysis pipelines. The work leveraged Python, Dask, and xarray within Jupyter Notebooks, resulting in a more maintainable and portable codebase that supports broader data analysis workflows without reliance on specialized external libraries.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
5,341
Activity Months1
Your Network
14 peopleSame Organization
@unimelb.edu.au3
Shared Repositories
11
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Focused on removing dependency fragility and increasing model interoperability for COSIMA/cosima-recipes. Delivered a refactor to standardize Sea Ice Coordinates by removing CFxarray dependency, enabling broader compatibility and model-agnostic analysis. Updated the Sea Ice Coordinates notebook to rely on standard xarray operations, and refined data loading and coordinate handling to align with common data analysis practices.
1 Commits • 1 Features
Oct 1, 2025October 2025: Focused on removing dependency fragility and increasing model interoperability for COSIMA/cosima-recipes. Delivered a refactor to standardize Sea Ice Coordinates by removing CFxarray dependency, enabling broader compatibility and model-agnostic analysis. Updated the Sea Ice Coordinates notebook to rely on standard xarray operations, and refined data loading and coordinate handling to align with common data analysis practices.
October 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
DaskData AnalysisData VisualizationPythonScientific ComputingXarray
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