EXCEEDS logo
Exceeds
Andrea Petrocchi

PROFILE

Andrea Petrocchi

Contributed to the conda-forge/staged-recipes repository by developing and standardizing packaging recipes for the MaMMoS scientific computing ecosystem. Delivered recipes for magnetic units, ontology-linked entities, and five additional MaMMoS components, each with complete metadata, dependency management, and automated testing commands. Focused on cross-platform compatibility by refining build instructions, removing Windows-specific builds, and ensuring platform-independent dependencies using Python and YAML. Leveraged Astropy for scientific units integration and maintained reproducibility through consistent documentation and environment configuration. This work improved installation reliability, streamlined onboarding for downstream users, and aligned with conda-forge best practices to support robust, maintainable package distribution.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

11Total
Bugs
0
Commits
11
Features
4
Lines of code
340
Activity Months2

Your Network

907 people

Work History

December 2025

9 Commits • 2 Features

Dec 1, 2025

December 2025 focused on expanding the Mammos ecosystem within conda-forge/staged-recipes and strengthening cross-platform packaging. Delivered five new recipes (mammos-dft, mammos-spindynamics, mammos-analysis, mammos-mumag, mammos-ai) with complete metadata, dependencies, build instructions, and testing commands. Standardized platform support by removing Windows builds, standardizing noarch dependencies, and scoping Unix-specific components (e.g., jax), resulting in Linux/macOS/Windows compatibility and more reproducible builds. This work improves installation reliability for end users, accelerates upstream integration, and demonstrates strong packaging discipline and adherence to conda-forge best practices.

November 2025

2 Commits • 2 Features

Nov 1, 2025

Month: 2025-11 — Delivered two packaging recipes for MaMMoS-related components in conda-forge/staged-recipes, enabling standardized distribution, testing, and onboarding for downstream users. Implemented magnetic units support and ontology-linked entities, with clear build/test metadata to ensure quality and reproducibility.

Activity

Loading activity data...

Quality Metrics

Correctness98.2%
Maintainability96.4%
Architecture96.4%
Performance96.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonYAML

Technical Skills

AI integrationAstropyPythonPython developmentYAML configurationcondaconda recipescross-platform developmentdata analysisdependency managementdocumentationenvironment configurationmetadata managementpackage managementscientific computing

Repositories Contributed To

1 repo

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

conda-forge/staged-recipes

Nov 2025 Dec 2025
2 Months active

Languages Used

PythonYAML

Technical Skills

AstropyPythonPython developmentdependency managementpackage managementAI integration