ubsuny/PHY386
Feb 2026 – Feb 2026
1 Month active
Languages Used
N/ANonePythonUnknown
Technical Skills
AI IntegrationAI integrationCode CleanupData ScienceData analysisData visualization
JoshProfeta
PROFILE
Joshprofeta
Developed core educational features and workflows for the ubsuny/PHY386 repository, focusing on onboarding, reproducibility, and long-term codebase maintenance. Delivered lifecycle management for educational modules, including creation, updates, and deletion processes, while provisioning Colab-based Jupyter Notebooks to streamline student engagement. Implemented project scaffolding and environment setup using Python and Git, supporting both data science and machine learning workflows. Enhanced the repository with Python learning resources, narrative content on quantum physics, and visualizations using matplotlib and numpy. Addressed codebase clarity by cleaning obsolete directories, ensuring sustainable repository maintenance and improved navigation for future contributors and learners within the educational platform.
Overall Statistics
Feature vs Bugs
90%Features
Repository Contributions
33Total
Bugs
1
Commits
33
Features
9
Lines of code
7,065
Activity Months1
Your Network
18 peopleWork History
February 2026
33 Commits • 9 Features
Feb 1, 2026February 2026 (2026-02) — Delivered core features and foundational workflows for education-oriented software in ubsuny/PHY386, while improving onboarding, reproducibility, and maintenance. Key outcomes include lifecycle management for JoshProfeta, Colab notebook provisioning and project scaffolding, Homework 2 versioning, and a suite of educational content experiments (Python learning resources and quantum narrative content). Obsolete directories were cleaned to reduce confusion and streamline maintenance, enhancing long-term sustainability of the educational codebase.
33 Commits • 9 Features
Feb 1, 2026February 2026 (2026-02) — Delivered core features and foundational workflows for education-oriented software in ubsuny/PHY386, while improving onboarding, reproducibility, and maintenance. Key outcomes include lifecycle management for JoshProfeta, Colab notebook provisioning and project scaffolding, Homework 2 versioning, and a suite of educational content experiments (Python learning resources and quantum narrative content). Obsolete directories were cleaned to reduce confusion and streamline maintenance, enhancing long-term sustainability of the educational codebase.
February 2026
Activity
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Quality Metrics
Correctness98.8%
Maintainability96.4%
Architecture96.4%
Performance97.0%
AI Usage43.6%
Skills & Technologies
Programming Languages
N/ANonePythonUnknown
Technical Skills
AI IntegrationAI integrationCode CleanupData ScienceData analysisData visualizationElectrical engineering conceptsFile ManagementGitJupyter NotebookJupyter Notebook usageJupyter NotebooksJupyter notebooksMarkdownN/A
Repositories Contributed To
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