AFM-SPM/TopoStats
Nov 2024 – Nov 2024
1 Month active
Languages Used
NonePython
Technical Skills
Code CleanupData AnalysisDebuggingImage ProcessingRegression TestingScientific Computing
TomC
PROFILE
Tomc
Tom Catley developed and integrated a disordered trace DNA width measurement feature for the AFM-SPM/TopoStats repository, focusing on enhancing the accuracy of DNA analytics in scientific computing workflows. He implemented a static Python method for width calculation and connected it to the trace_image_disordered pipeline, ensuring seamless integration with existing image processing routines. Tom expanded regression testing and test coverage to include the new measurement, improving reliability and maintainability. He also updated documentation to reflect these changes and performed code cleanup by removing obsolete debugging prints. His work addressed analytical precision and maintainability, demonstrating depth in data analysis and software testing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
1
Lines of code
164
Activity Months1
Your Network
23 peopleWork History
November 2024
12 Commits • 1 Features
Nov 1, 20242024-11: Delivered Disordered Trace DNA Width Measurement in TopoStats (static calculate_dna_width, integration into trace_image_disordered), expanded test coverage and regression targets, updated docs, and cleaned up debugging prints. No major bugs fixed this month. Business value: higher accuracy in disordered-trace DNA width analytics and improved maintainability.
12 Commits • 1 Features
Nov 1, 20242024-11: Delivered Disordered Trace DNA Width Measurement in TopoStats (static calculate_dna_width, integration into trace_image_disordered), expanded test coverage and regression targets, updated docs, and cleaned up debugging prints. No major bugs fixed this month. Business value: higher accuracy in disordered-trace DNA width analytics and improved maintainability.
November 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability86.6%
Architecture78.4%
Performance63.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
NonePython
Technical Skills
Code CleanupData AnalysisDebuggingImage ProcessingRegression TestingScientific ComputingSoftware DevelopmentSoftware TestingTesting
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