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Baptiste Hamon

PROFILE

Baptiste Hamon

Baptiste Hamon contributed to the Ouranosinc/xclim and conda-forge/staged-recipes repositories, focusing on climate data analysis and build engineering. He developed features such as dynamic day-of-year time filtering and a hot_days indicator for heatwave analysis, leveraging Python, NumPy, and xarray to enable precise and reproducible time series selection. Baptiste improved metadata and documentation, ensuring accurate contributor attribution and enhanced dataset discoverability. He also created and maintained a conda-forge recipe for lsapy, enforcing Python compatibility and streamlining installation. His work demonstrated depth in backend development, scientific computing, and package management, addressing both user-facing features and infrastructure reliability.

Overall Statistics

Feature vs Bugs

88%Features

Repository Contributions

17Total
Bugs
1
Commits
17
Features
7
Lines of code
336
Activity Months5

Work History

August 2025

4 Commits • 2 Features

Aug 1, 2025

August 2025 monthly summary for conda-forge/staged-recipes: Implemented a new lsapy recipe and tightened metadata to improve build reliability and Python compatibility. These changes enhance reproducibility, streamline user installation, and reduce recipe maintenance.

July 2025

3 Commits • 1 Features

Jul 1, 2025

July 2025 monthly summary for Ouranosinc/xclim: Key feature delivered is the hot_days indicator/index under xclim.atmos.hot_days, enabling robust heatwave exposure analysis by counting days when the daily maximum temperature exceeds a user-specified threshold. The feature includes both an index and a corresponding indicator, plus unit tests validating the behavior and a CHANGELOG entry to communicate the capability to users.

May 2025

3 Commits • 1 Features

May 1, 2025

May 2025 monthly summary for Ouranosinc/xclim focused on documentation improvements around create_ensemble calendar behavior and ensuring changelog accuracy. Delivered clearer default calendar selection behavior, aligned expectations across calendars, and corrected documentation/test artifacts, including a minor changelog typo and proper contributor listing. This work improves user guidance and release note attribution while preserving stability across the repository.

January 2025

6 Commits • 2 Features

Jan 1, 2025

January 2025 monthly summary for Ouranosinc/xclim: focused on reliability of time-based masking and improving data discoverability. Key improvements include day-of-year masking fixes to ensure correctness and robustness, and metadata updates to enhance dataset discoverability and contributor attribution.

December 2024

1 Commits • 1 Features

Dec 1, 2024

December 2024 monthly summary for the Ouranosinc/xclim repository focusing on a key feature delivery that enhances time-based filtering across climate time series.

Activity

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Quality Metrics

Correctness93.6%
Maintainability94.2%
Architecture93.6%
Performance88.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonRSTYAMLrst

Technical Skills

Backend DevelopmentBuild EngineeringBuild SystemsCI/CDChangelog ManagementClimate Data AnalysisCode RefactoringData AnalysisDocumentationError HandlingNumPyPackage ManagementPythonScientific ComputingTime Series Analysis

Repositories Contributed To

2 repos

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

Ouranosinc/xclim

Dec 2024 Jul 2025
4 Months active

Languages Used

PythonRSTrst

Technical Skills

Data AnalysisNumPyTime Series AnalysisXarrayBackend DevelopmentCode Refactoring

conda-forge/staged-recipes

Aug 2025 Aug 2025
1 Month active

Languages Used

YAML

Technical Skills

Build EngineeringBuild SystemsCI/CDPackage Management

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