KoalbyMQP/RaspberryPi-Code_24-25
Nov 2024 – Dec 2024
2 Months active
Languages Used
Python
Technical Skills
API DevelopmentData AcquisitionDevice ConfigurationDocumentationEmbedded SystemsHardware Integration
E-man-dev
PROFILE
E-man-dev
Ethan Glasby developed and enhanced data acquisition capabilities for the KoalbyMQP/RaspberryPi-Code_24-25 repository, focusing on supporting simultaneous use of MCC 128 and MCC 118 HAT devices. He implemented multi-device orchestration within the Python-based DAQ API, refactored device selection and readiness logic, and improved start-stop scan controls to ensure robust data collection. Ethan also expanded documentation to clarify the new multi-device workflow and improved code hygiene by aligning file naming with Python conventions. In December, he reorganized the codebase, relocating DAQ logic to a dedicated test directory, which improved maintainability and laid groundwork for future test automation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
3
Lines of code
1,072
Activity Months2
Your Network
6 people
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for KoalbyMQP/RaspberryPi-Code_24-25: Focused on codebase organization improvements without altering functionality. The key achievement was moving MCC DAQ-related code from the backend directory to a dedicated test directory to enhance testability and maintainability. Commit 93dad87d8964d308cc9ab4d15be55453777d542d documents the relocation to test/io/expansion/HAT/MCC_DAQ.py. No functional changes were introduced. This restructuring lays groundwork for improved test coverage, easier onboarding for QA, and a cleaner backend structure. No major bugs fixed this month, but the change adds tangible business value by enabling faster testing and safer code evolution.
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for KoalbyMQP/RaspberryPi-Code_24-25: Focused on codebase organization improvements without altering functionality. The key achievement was moving MCC DAQ-related code from the backend directory to a dedicated test directory to enhance testability and maintainability. Commit 93dad87d8964d308cc9ab4d15be55453777d542d documents the relocation to test/io/expansion/HAT/MCC_DAQ.py. No functional changes were introduced. This restructuring lays groundwork for improved test coverage, easier onboarding for QA, and a cleaner backend structure. No major bugs fixed this month, but the change adds tangible business value by enabling faster testing and safer code evolution.
December 2024
November 2024
6 Commits • 2 Features
Nov 1, 2024November 2024 — KoalbyMQP/RaspberryPi-Code_24-25: Key deliverables include multi-HAT MCC 128/118 support within the DAQ API, initialization/refactor improvements, and code hygiene updates. Major bugs fixed: none explicitly logged this month; stability improvements were achieved through initialization enhancements and clearer documentation. Overall impact: enables reliable, scalable data collection from multiple MCC HATs on Raspberry Pi, simplifying maintenance and accelerating hardware analytics. Technologies/skills demonstrated: Python-based hardware integration, multi-device orchestration, API design/refactor, documentation, and adherence to Python conventions.
November 2024
6 Commits • 2 Features
Nov 1, 2024November 2024 — KoalbyMQP/RaspberryPi-Code_24-25: Key deliverables include multi-HAT MCC 128/118 support within the DAQ API, initialization/refactor improvements, and code hygiene updates. Major bugs fixed: none explicitly logged this month; stability improvements were achieved through initialization enhancements and clearer documentation. Overall impact: enables reliable, scalable data collection from multiple MCC HATs on Raspberry Pi, simplifying maintenance and accelerating hardware analytics. Technologies/skills demonstrated: Python-based hardware integration, multi-device orchestration, API design/refactor, documentation, and adherence to Python conventions.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture85.8%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DevelopmentData AcquisitionDevice ConfigurationDocumentationEmbedded SystemsHardware IntegrationPythonPython DevelopmentRefactoring
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