conda-forge/staged-recipes
Dec 2025 – Dec 2025
1 Month active
Languages Used
YAML
Technical Skills
Data ScienceLibrary DevelopmentPythonYAMLdependency managementpackage management
Nikola Marincic
PROFILE
Nikola Marincic
Nikola Marincic developed packaging improvements for the NumbaSOM library within the conda-forge/staged-recipes repository, focusing on enabling a stable release. He created a new recipe for NumbaSOM, updated Python version requirements, and corrected the source URL to ensure reliable package distribution. His work involved refining dependency management and enhancing package testing using YAML and Python, with careful attention to linting and code-review standards. Although the project scope was limited to one feature over a month, Nikola’s contributions improved packaging reliability and maintainability, reducing release risk and supporting downstream usage for data science workflows that depend on NumbaSOM.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
61
Activity Months1
Your Network
742 peopleWork History
December 2025
3 Commits • 1 Features
Dec 1, 2025Month: 2025-12 | Repository: conda-forge/staged-recipes | Focus: NumbaSOM release packaging improvements to enable a stable release. Key features delivered: added a new NumbaSOM recipe, updated Python version requirements, corrected the source URL, and refined package testing dependencies. Major bugs fixed: no major bugs identified; packaging work included linting and review-driven fixes. Overall impact: improved packaging reliability for NumbaSOM, reducing release risk and accelerating downstream usage; improved maintainability with clearer requirements and testing. Technologies/skills demonstrated: conda-forge recipe development, Python packaging, linting and code-review compliance, dependency management, URL validation.
3 Commits • 1 Features
Dec 1, 2025Month: 2025-12 | Repository: conda-forge/staged-recipes | Focus: NumbaSOM release packaging improvements to enable a stable release. Key features delivered: added a new NumbaSOM recipe, updated Python version requirements, corrected the source URL, and refined package testing dependencies. Major bugs fixed: no major bugs identified; packaging work included linting and review-driven fixes. Overall impact: improved packaging reliability for NumbaSOM, reducing release risk and accelerating downstream usage; improved maintainability with clearer requirements and testing. Technologies/skills demonstrated: conda-forge recipe development, Python packaging, linting and code-review compliance, dependency management, URL validation.
December 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
Data ScienceLibrary DevelopmentPythonYAMLdependency managementpackage managementtesting
Repositories Contributed To
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