conda-forge/staged-recipes
Mar 2026 – Mar 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
PythonPython developmentYAMLconda recipesdependency managementpackage management
Daniel Schick
PROFILE
Daniel Schick
Daniel Schick developed and delivered the initial packaging recipe for the udkm1dsim Python package in the conda-forge/staged-recipes repository, focusing on robust dependency and metadata management. He used Python and YAML to generate the recipe via Grayskull, then iterated on it to align with conda-forge’s versioning and compatibility guidelines. By refining Python version constraints and updating dependencies, Daniel improved build reliability and ensured smoother distribution for downstream users. His work prepared the package for future CI integration and ongoing maintenance, demonstrating a solid understanding of conda recipes, package management, and the requirements for sustainable open-source distribution.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
68
Activity Months1
Your Network
742 peopleWork History
March 2026
3 Commits • 1 Features
Mar 1, 2026Month: 2026-03 — Conda-forge/staged-recipes: UDKM1DSIM packaging delivered with an initial recipe and version updates. Key improvements include aligning Python version requirements with conda-forge guidelines and updating dependencies/metadata for robust builds. This work improves distribution, reproducibility, and onboarding for downstream users, preparing the project for CI integration and future maintenance. Commit highlights: 621f505f1eaae6d308a0fa824517ccaa8e5e3d30, 27bc36d945f98183ae8d7e05bd133c791bc3eb74, f8c1bd3001d2a011c476ed2d589114b4df888a5b.
3 Commits • 1 Features
Mar 1, 2026Month: 2026-03 — Conda-forge/staged-recipes: UDKM1DSIM packaging delivered with an initial recipe and version updates. Key improvements include aligning Python version requirements with conda-forge guidelines and updating dependencies/metadata for robust builds. This work improves distribution, reproducibility, and onboarding for downstream users, preparing the project for CI integration and future maintenance. Commit highlights: 621f505f1eaae6d308a0fa824517ccaa8e5e3d30, 27bc36d945f98183ae8d7e05bd133c791bc3eb74, f8c1bd3001d2a011c476ed2d589114b4df888a5b.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
PythonPython developmentYAMLconda recipesdependency managementpackage management
Repositories Contributed To
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