conda-forge/staged-recipes
Nov 2025 – Dec 2025
2 Months active
Languages Used
YAML
Technical Skills
CythonPythondata analysispackage managementYAMLconda
Rutger van Haasteren
PROFILE
Rutger Van Haasteren
Over a two-month period, Victor Haasteren developed and maintained packaging recipes for scientific Python tools within the conda-forge/staged-recipes repository. He introduced the FastShermanMorrison recipe, optimizing EcorrKernel calculations for pulsar timing analysis, and ensured reproducible environments through careful dependency and testing management using Python, Cython, and YAML. In the following month, Victor delivered the scipydepr recipe, preserving access to deprecated SciPy functions for downstream users while addressing linting issues to improve code quality. His work demonstrated a strong grasp of package management, recipe maintenance, and CI integration, contributing to repository health and supporting ongoing scientific software workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
109
Activity Months2
Your Network
742 peopleWork History
December 2025
2 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12: Delivered the SciPy Depr Recipe for staged-recipes, introducing a new deprecated-functions recipe for scipydepr and addressing linting issues in the recipe's meta.yaml. This work preserves access to deprecated SciPy functionality for users and downstream projects, reducing disruption and ongoing support overhead. It also strengthens repository health and maintainability through code quality improvements and standardized packaging metadata. Technologies demonstrated include Python packaging, conda-forge recipe tooling, and YAML linting.
2 Commits • 1 Features
Dec 1, 2025Monthly summary for 2025-12: Delivered the SciPy Depr Recipe for staged-recipes, introducing a new deprecated-functions recipe for scipydepr and addressing linting issues in the recipe's meta.yaml. This work preserves access to deprecated SciPy functionality for users and downstream projects, reducing disruption and ongoing support overhead. It also strengthens repository health and maintainability through code quality improvements and standardized packaging metadata. Technologies demonstrated include Python packaging, conda-forge recipe tooling, and YAML linting.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary: Delivered a new FastShermanMorrison pulsar timing recipe to conda-forge/staged-recipes, including dependencies, build instructions, and testing commands to optimize EcorrKernel calculations for pulsar timing analysis. This work standardizes packaging for a critical pulsar timing workflow, enabling reproducible environments and streamlined CI validation across user deployments. Commit included: c498273e73c43a841a050e4d94a432c6beb5cb8d.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary: Delivered a new FastShermanMorrison pulsar timing recipe to conda-forge/staged-recipes, including dependencies, build instructions, and testing commands to optimize EcorrKernel calculations for pulsar timing analysis. This work standardizes packaging for a critical pulsar timing workflow, enabling reproducible environments and streamlined CI validation across user deployments. Commit included: c498273e73c43a841a050e4d94a432c6beb5cb8d.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
CythonPythonYAMLcondadata analysislintingpackage managementrecipe management
Repositories Contributed To
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