ubsuny/PHY386
Feb 2025 – May 2025
4 Months active
Languages Used
JSONJupyter NotebookLaTeXMATLABMarkdownPython
Technical Skills
Basic Data StructuresCode SnippetsControl FlowFile I/OFile ManagementFunctions
iamtomato761
PROFILE
Iamtomato761
During four months contributing to ubsuny/PHY386, Inaqt3.14 developed educational and research-focused Jupyter notebooks addressing physics and astrophysics problems. They built pipelines for astronomical image analysis using Python, Astropy, and TensorFlow, including CNN-based spectral classification and automated source cataloging. Their work included quantum state visualization with QuTiP, Gaussian Mixture Model clustering for star classification, and data-driven acceleration analysis using Pandas and Matplotlib. Inaqt3.14 emphasized reproducibility and maintainability by refining notebook organization, metadata, and formatting. The depth of their contributions is reflected in robust, well-documented workflows that support both teaching and research, demonstrating strong scientific computing and data analysis skills.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
16Total
Bugs
1
Commits
16
Features
8
Lines of code
9,822
Activity Months4
Your Network
11 people
Work History
May 2025
6 Commits • 3 Features
May 1, 2025May 2025 monthly summary for repository ubsuny/PHY386. Delivered three feature initiatives spanning astronomical image analysis with CNN-based spectral classification, acceleration data analysis and visualization, and notebook metadata formatting polish. There were no explicitly reported major bug fixes for this period. The work emphasizes automation, data-driven insights, and reproducible documentation, delivering business value through faster scientific routines and clearer notebook communication.
6 Commits • 3 Features
May 1, 2025May 2025 monthly summary for repository ubsuny/PHY386. Delivered three feature initiatives spanning astronomical image analysis with CNN-based spectral classification, acceleration data analysis and visualization, and notebook metadata formatting polish. There were no explicitly reported major bug fixes for this period. The work emphasizes automation, data-driven insights, and reproducible documentation, delivering business value through faster scientific routines and clearer notebook communication.
May 2025
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 - PHY386 (ubsuny/PHY386): Delivered two substantive features with targeted bug fixes, driving educational value and improved data-driven classification. The work emphasizes business value for teaching labs and research workflows, with robust, reproducible code paths.
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 - PHY386 (ubsuny/PHY386): Delivered two substantive features with targeted bug fixes, driving educational value and improved data-driven classification. The work emphasizes business value for teaching labs and research workflows, with robust, reproducible code paths.
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for ubsuny/PHY386. Delivered two educational notebooks to enhance bandgap analysis and data processing workflows, with clear traceability to commits. Focused on business value: scalable teaching demos and preparatory data-modeling pipelines for HW3.
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for ubsuny/PHY386. Delivered two educational notebooks to enhance bandgap analysis and data processing workflows, with clear traceability to commits. Focused on business value: scalable teaching demos and preparatory data-modeling pipelines for HW3.
March 2025
February 2025
6 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ubsuny/PHY386: Delivered a complete Homework 1 notebook with basic formatting, Python and MATLAB code examples, LaTeX rendering, and initial content; followed by minor formatting refinements. Resolved notebook organization issues by correcting directory structure, renaming HW1.ipynb, and removing a problematic file to ensure proper placement. These changes improved content reliability, developer productivity, and long-term maintainability of course materials.
February 2025
6 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ubsuny/PHY386: Delivered a complete Homework 1 notebook with basic formatting, Python and MATLAB code examples, LaTeX rendering, and initial content; followed by minor formatting refinements. Resolved notebook organization issues by correcting directory structure, renaming HW1.ipynb, and removing a problematic file to ensure proper placement. These changes improved content reliability, developer productivity, and long-term maintainability of course materials.
Activity
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Quality Metrics
Correctness83.8%
Maintainability83.8%
Architecture85.0%
Performance81.2%
AI Usage36.2%
Skills & Technologies
Programming Languages
JSONJupyter NotebookLaTeXMATLABMarkdownPython
Technical Skills
AstrophysicsAstropyAstroqueryBasic Data StructuresCNNClusteringCode SnippetsControl FlowData AnalysisData ProcessingData VisualizationDebuggingEigenvalue ProblemsFile I/OFile Management
Repositories Contributed To
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