ubsuny/PHY386
Feb 2025 – May 2025
4 Months active
Languages Used
Jupyter NotebookMarkdownPythonPNG
Technical Skills
Academic AssignmentControl FlowData ScienceData StructuresFile I/OFunctions
rahatalberuni
PROFILE
Rahatalberuni
Developed a suite of educational and research-focused Jupyter Notebooks for the ubsuny/PHY386 repository, delivering nine new features over four months. Work included building reproducible data analysis pipelines, quantum computing simulations, and GPU-accelerated astronomy workflows using Python, NumPy, and TensorFlow. Notebooks covered topics such as mass-spring system modeling, quantum state visualization with QuTiP and Strawberry Fields, and CNN-based star classification. Emphasized modular code, clear documentation, and version control to support onboarding and iterative improvement. Asset management and visual branding groundwork were also established, ensuring repository readiness for future content expansion and enabling rapid deployment for students and researchers.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
9
Lines of code
124,180
Activity Months4
Your Network
18 peopleWork History
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 — PHY386: Established asset management groundwork and branding readiness. Implemented an empty placeholder for Rahatalberuni and bulk-uploaded visual assets to accelerate upcoming UI/content deployment, with clear commit traces for future work.
2 Commits • 2 Features
May 1, 2025May 2025 — PHY386: Established asset management groundwork and branding readiness. Implemented an empty placeholder for Rahatalberuni and bulk-uploaded visual assets to accelerate upcoming UI/content deployment, with clear commit traces for future work.
May 2025
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025: Delivered two consolidated notebook suites under ubsuny/PHY386, focusing on quantum computing and astronomy education. Refactored and expanded the Quantum Computing Notebook Suite with Fock and coherent state plotting, Wigner function visualization, and Strawberry Fields integration for Gaussian Boson Sampling; added a Python course notebook covering type annotations, QuTiP, and interactive photonic circuit exercises with Colab resource optimizations. Launched the Astronomy Star Classification and Morphology Notebooks featuring GPU-accelerated star classification with RGB FITS loading/DAOStarFinder and a CNN-based morphology workflow with data loading and visualization. Both suites advanced to Final Version through iterative commits, delivering production-ready materials that accelerate onboarding and enable advanced experiments.
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025: Delivered two consolidated notebook suites under ubsuny/PHY386, focusing on quantum computing and astronomy education. Refactored and expanded the Quantum Computing Notebook Suite with Fock and coherent state plotting, Wigner function visualization, and Strawberry Fields integration for Gaussian Boson Sampling; added a Python course notebook covering type annotations, QuTiP, and interactive photonic circuit exercises with Colab resource optimizations. Launched the Astronomy Star Classification and Morphology Notebooks featuring GPU-accelerated star classification with RGB FITS loading/DAOStarFinder and a CNN-based morphology workflow with data loading and visualization. Both suites advanced to Final Version through iterative commits, delivering production-ready materials that accelerate onboarding and enable advanced experiments.
March 2025
4 Commits • 4 Features
Mar 1, 2025March 2025 focused on feature-rich, educational notebooks and data-analysis workflows in ubsuny/PHY386 that establish reproducible pipelines for physics experiments and quantum computing concepts. Deliverables enable rapid experimentation, hands-on learning, and scalable analysis to support students, researchers, and engineering teams, translating theoretical concepts into practical tooling and insights.
4 Commits • 4 Features
Mar 1, 2025March 2025 focused on feature-rich, educational notebooks and data-analysis workflows in ubsuny/PHY386 that establish reproducible pipelines for physics experiments and quantum computing concepts. Deliverables enable rapid experimentation, hands-on learning, and scalable analysis to support students, researchers, and engineering teams, translating theoretical concepts into practical tooling and insights.
March 2025
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025: Delivered core course material for PHY386 by creating and updating HW1 Notebook (HW1.ipynb) for the 2025 course. Implemented initial notebook structure with placeholders, followed by refactoring and content enhancements that incorporate Python fundamentals and improved instructional clarity. Updated metadata and authorship to ensure correct attribution. Established edition R1 with subsequent test-version updates to support QA and student feedback. No major bugs reported this month; minor metadata adjustments were completed. Overall, this work accelerates course readiness, improves onboarding for students, and demonstrates solid proficiency in notebook-based content development, Python fundamentals, and disciplined version control.
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025: Delivered core course material for PHY386 by creating and updating HW1 Notebook (HW1.ipynb) for the 2025 course. Implemented initial notebook structure with placeholders, followed by refactoring and content enhancements that incorporate Python fundamentals and improved instructional clarity. Updated metadata and authorship to ensure correct attribution. Established edition R1 with subsequent test-version updates to support QA and student feedback. No major bugs reported this month; minor metadata adjustments were completed. Overall, this work accelerates course readiness, improves onboarding for students, and demonstrates solid proficiency in notebook-based content development, Python fundamentals, and disciplined version control.
Activity
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Quality Metrics
Correctness76.4%
Maintainability75.8%
Architecture72.8%
Performance65.8%
AI Usage41.4%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPNGPython
Technical Skills
AI-assisted DevelopmentAcademic AssignmentAsset UploadAstrophysicsAstropyAutoencodersCNNCoherent StatesControl FlowData AnalysisData ManagementData PreparationData ScienceData StructuresData Visualization
Repositories Contributed To
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