dpploy/engy-4390
Nov 2024 – Dec 2024
2 Months active
Languages Used
JSONJupyter NotebookPython
Technical Skills
Code RefactoringData AnalysisData VisualizationJupyter NotebookJupyter NotebooksNumerical Methods
Bmanco
PROFILE
Bmanco
Billy Manco contributed to the dpploy/engy-4390 repository by developing and modernizing Jupyter notebook-based test environments for heat transfer simulations. He refactored test suites to leverage PyFires global basis functions, standardized Python metadata, and improved documentation with descriptive markdown, resulting in reproducible execution and clearer onboarding. Billy also implemented slope-based thermal interpolation utilities and prepared the codebase for finite element method (FEM) simulations, enhancing data quality and test reliability. His work utilized Python, NumPy, and SciPy, focusing on scientific computing and technical writing. The depth of his contributions established a robust foundation for future simulation and analysis workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
21Total
Bugs
0
Commits
21
Features
4
Lines of code
3,003
Activity Months2
Your Network
10 peopleSame Organization
@student.uml.edu3
Work History
December 2024
15 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for dpploy/engy-4390: Delivered foundational slope-based thermal interpolation capabilities and prepared FEM readiness, while standardizing FIRES bricks Test 4 data and narratives to improve reliability and reproducibility. Implemented slope_func and accompanying utilities for temperature interpolation and heat-generation slope calculations, with updates to tests and notebooks. Standardized Test 4 data, boundary conditions, plots, and narrative to align with the 1-D heat conduction scenario. The work tightened data quality, reduced onboarding friction, and established a solid base for subsequent simulations. Technologies used include Python, Jupyter notebooks, unit testing, and data wrangling/documentation.
15 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for dpploy/engy-4390: Delivered foundational slope-based thermal interpolation capabilities and prepared FEM readiness, while standardizing FIRES bricks Test 4 data and narratives to improve reliability and reproducibility. Implemented slope_func and accompanying utilities for temperature interpolation and heat-generation slope calculations, with updates to tests and notebooks. Standardized Test 4 data, boundary conditions, plots, and narrative to align with the 1-D heat conduction scenario. The work tightened data quality, reduced onboarding friction, and established a solid base for subsequent simulations. Technologies used include Python, Jupyter notebooks, unit testing, and data wrangling/documentation.
December 2024
November 2024
6 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for dpploy/engy-4390: Delivered stability and modernization of the notebook-based test suite, creating reproducible execution and consistent results across fires-brick notebooks. Refactored tests to leverage PyFires global basis functions, improved test explanations and outputs with markdown, and documented changes for faster onboarding. These efforts reduce CI flakiness, shorten debugging cycles, and strengthen test-driven development for data-science notebooks.
November 2024
6 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for dpploy/engy-4390: Delivered stability and modernization of the notebook-based test suite, creating reproducible execution and consistent results across fires-brick notebooks. Refactored tests to leverage PyFires global basis functions, improved test explanations and outputs with markdown, and documented changes for faster onboarding. These efforts reduce CI flakiness, shorten debugging cycles, and strengthen test-driven development for data-science notebooks.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture76.2%
Performance74.4%
AI Usage21.8%
Skills & Technologies
Programming Languages
JSONJupyter NotebookPython
Technical Skills
Code RefactoringData AnalysisData VisualizationDocumentationEnvironment ManagementFinite Element MethodFinite Element Method (FEM)Heat Transfer SimulationJupyter NotebookJupyter NotebooksMatplotlibNumPyNumerical AnalysisNumerical MethodsPython
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