conda-forge/staged-recipes
Nov 2025 – Nov 2025
1 Month active
Languages Used
BashPythonRShellYAML
Technical Skills
Data analysisPackage developmentPackage managementPython developmentR programmingShell scripting
RAILLARD
PROFILE
Raillard
Developed a suite of Resourcecode data access packages for the conda-forge/staged-recipes repository, enabling streamlined cross-language and cross-platform access to hindcast marine data. The work included new R and Python packages for accessing, downloading, and analyzing sea-state parameters and wave spectra, with a focus on reproducible packaging and open source compliance. Leveraging Python, R, and YAML configuration, the developer enhanced build system compatibility for Windows and C environments, updated licensing to SPDX GPL-3.0-or-later, and improved maintainer metadata. These contributions accelerated model development and data analysis workflows by providing ready-to-use utilities and robust dependency management for marine research.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
4
Lines of code
676
Activity Months1
Your Network
815 peopleSame Organization
@ifremer.fr6
Shared Repositories
809
Work History
November 2025
12 Commits • 4 Features
Nov 1, 2025November 2025 monthly summary for conda-forge/staged-recipes: Delivered a new suite of Resourcecode data access packages (R and Python) plus packaging and build enhancements to enable cross-language, cross-platform access to hindcast marine data with governance improvements. The work accelerates model development and data analysis by providing ready-to-use data access utilities and reproducible packaging.
12 Commits • 4 Features
Nov 1, 2025November 2025 monthly summary for conda-forge/staged-recipes: Delivered a new suite of Resourcecode data access packages (R and Python) plus packaging and build enhancements to enable cross-language, cross-platform access to hindcast marine data with governance improvements. The work accelerates model development and data analysis by providing ready-to-use data access utilities and reproducible packaging.
November 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashPythonRShellYAML
Technical Skills
Data analysisPackage developmentPackage managementPython developmentR programmingShell scriptingYAML configurationbash scriptingbuild system configurationcross-platform developmentdata analysisdependency managementmaintainer managementopen source compliancepackage development
Repositories Contributed To
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