ubsuny/PHY386
Feb 2025 – May 2025
4 Months active
Languages Used
MarkdownPythonJSONJupyter Notebook
Technical Skills
Data AnalysisData HandlingFile I/OJupyter NotebooksProgramming FundamentalsPython Programming
DDarrigo-Brick
PROFILE
Ddarrigo-brick
Over four months, Daniel D’Arrigo developed and maintained a suite of Jupyter-based homework and project notebooks for the ubsuny/PHY386 repository, supporting physics and astronomy coursework. He implemented features such as data analysis workflows, quantum optics simulations, and astronomical data processing using Python, Astropy, and QuTiP. Daniel ensured reproducibility and maintainability by standardizing file structures, normalizing naming conventions, and enhancing documentation. He addressed onboarding challenges by refining learning objectives and improving repository hygiene, including bug fixes and content finalization. His work delivered end-to-end solutions with code, analysis, and visualizations, demonstrating depth in scientific computing and technical writing throughout the project.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
23Total
Bugs
2
Commits
23
Features
8
Lines of code
10,584
Activity Months4
Your Network
11 people
Work History
May 2025
4 Commits • 2 Features
May 1, 2025May 2025 monthly summary for ubsuny/PHY386. Focused on end-to-end project delivery, repo hygiene, and documentation to support reproducibility and evaluation. Delivered clean, well-documented artifacts and a complete final submission package with code, analysis, and visualizations.
4 Commits • 2 Features
May 1, 2025May 2025 monthly summary for ubsuny/PHY386. Focused on end-to-end project delivery, repo hygiene, and documentation to support reproducibility and evaluation. Delivered clean, well-documented artifacts and a complete final submission package with code, analysis, and visualizations.
May 2025
April 2025
4 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for ubsuny/PHY386 focusing on feature delivery, bug fixes, and overall impact. Delivered concrete notebooks for HW5/HW6 with setup and data analysis scaffolding, and implemented naming normalization to ensure consistent, tooling-friendly file conventions. Demonstrated strong technical execution in Python/Jupyter-based workflows and version-control hygiene, contributing to reproducibility and smoother student onboarding.
April 2025
4 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for ubsuny/PHY386 focusing on feature delivery, bug fixes, and overall impact. Delivered concrete notebooks for HW5/HW6 with setup and data analysis scaffolding, and implemented naming normalization to ensure consistent, tooling-friendly file conventions. Demonstrated strong technical execution in Python/Jupyter-based workflows and version-control hygiene, contributing to reproducibility and smoother student onboarding.
March 2025
13 Commits • 4 Features
Mar 1, 2025Concise monthly summary for PHY386 (March 2025) focused on delivered features, bug fixes, and overall impact. Emphasizes business value, maintainability, and technical execution across notebooks, documentation, and data analysis, with a path-aware, reproducible workflow.
13 Commits • 4 Features
Mar 1, 2025Concise monthly summary for PHY386 (March 2025) focused on delivered features, bug fixes, and overall impact. Emphasizes business value, maintainability, and technical execution across notebooks, documentation, and data analysis, with a path-aware, reproducible workflow.
March 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 — Performance summary for ubsuny/PHY386: Delivered an introductory Python-focused Homework Notebook (HW1.ipynb) for physics homework, covering essential Python concepts and introducing data frames and plotting for hands-on data exploration. Implemented content corrections (CVSs to CSVs) and updated learning objectives to emphasize proper GitHub usage and effective loop constructs. These contributions improve the onboarding experience for students, enhance reproducibility, and align the course materials with defined outcomes. Demonstrated proficiency in Python, Jupyter notebooks, pandas data frames, matplotlib plots, and Git/GitHub workflows, delivering tangible business value through better learner engagement and streamlined materials maintenance.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 — Performance summary for ubsuny/PHY386: Delivered an introductory Python-focused Homework Notebook (HW1.ipynb) for physics homework, covering essential Python concepts and introducing data frames and plotting for hands-on data exploration. Implemented content corrections (CVSs to CSVs) and updated learning objectives to emphasize proper GitHub usage and effective loop constructs. These contributions improve the onboarding experience for students, enhance reproducibility, and align the course materials with defined outcomes. Demonstrated proficiency in Python, Jupyter notebooks, pandas data frames, matplotlib plots, and Git/GitHub workflows, delivering tangible business value through better learner engagement and streamlined materials maintenance.
Activity
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Quality Metrics
Correctness85.2%
Maintainability85.2%
Architecture81.8%
Performance82.6%
AI Usage21.6%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPython
Technical Skills
AstronomyAstrophysicsAstropyBasic Data StructuresContent FinalizationCurve FittingData AnalysisData HandlingData ProcessingData VisualizationDocumentationFITS File HandlingFile I/OFile ManagementJupyter Notebooks
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline