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Alban Farchi

PROFILE

Alban Farchi

Alban Farchi focused on enhancing the reliability of stacking operations in the pydata/xarray repository by addressing a bug in the Dataset.to_stacked_array method. He ensured that the dimension stacking order consistently followed the order of appearance, even after transpose operations, which previously led to shape-related errors in downstream data analysis. Alban implemented a targeted fix in Python, complemented by a regression test to safeguard against future issues and maintain stability. His work demonstrated depth in library development and testing, directly improving the correctness of data analysis workflows that rely on xarray’s stacking functionality for multidimensional datasets.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

1Total
Bugs
1
Commits
1
Features
0
Lines of code
38
Activity Months1

Work History

April 2025

1 Commits

Apr 1, 2025

April 2025 was focused on improving correctness and reliability of stacking operations in the xarray toolkit, with a targeted bug fix in Dataset.to_stacked_array to ensure dimension stacking order is applied consistently, including after transpose. The work involved adding a regression test to prevent future regressions and enhances downstream data analysis stability.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Data AnalysisLibrary DevelopmentTesting

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

pydata/xarray

Apr 2025 Apr 2025
1 Month active

Languages Used

Python

Technical Skills

Data AnalysisLibrary DevelopmentTesting

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