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
Contributed to the ubsuny/PHY386 repository by developing educational and research-focused Jupyter notebooks over four months, delivering eight features and resolving one bug. Built pipelines for astronomical image analysis using Python, leveraging Astropy, Astroquery, and CNNs for spectral classification and source cataloging. Implemented data processing and visualization workflows with Pandas and Matplotlib, including acceleration data analysis and quantum state simulations with QuTiP and Strawberry Fields. Enhanced reproducibility and maintainability through disciplined commit practices, clear documentation, and notebook formatting improvements. Demonstrated proficiency in scientific computing, machine learning, and cross-language integration, supporting both teaching and research objectives in physics and astrophysics.
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
18 peopleWork 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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