assume-framework/assume
Nov 2025 – Nov 2025
1 Month active
Languages Used
Python
Technical Skills
Python programmingalgorithm designalgorithm developmentdata analysisoptimizationperformance optimization
Nick Marx
PROFILE
Nick Marx
Worked on the assume-framework/assume repository to enhance the market clearing workflow, focusing on both performance optimization and extensibility. Applied Python programming and algorithm design skills to optimize the extract_results function, ensuring flows_filtered was computed only once for complex clearing scenarios, which reduced compute time under heavy workloads. Refactored the market_clearing_opt logic into three modular methods, improving code reusability and enabling easier testing of new algorithms without duplication. Maintained backwards compatibility throughout the restructuring, supporting safer future experimentation. Improved documentation and inline comments to align with project standards, facilitating maintainability and knowledge transfer for ongoing and future development efforts.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
133
Activity Months1
Your Network
27 peopleSame Organization
@student.kit.edu9
Benedikt WaibelMember
Fabian MeyerMember
jannikdemandMember
mthedeMember
Moritz MolchMember
Nils BuchholzMember
Christian HeinMember
schubsenMember
ysedayMember
Work History
November 2025
2 Commits • 1 Features
Nov 1, 2025Concise monthly summary for 2025-11 focusing on performance improvements and extensibility in assume-framework/assume. Delivered enhancements to market clearing workflow that reduce compute time for complex scenarios and laid groundwork for testing new algorithms through modularization, while maintaining compatibility and code quality.
2 Commits • 1 Features
Nov 1, 2025Concise monthly summary for 2025-11 focusing on performance improvements and extensibility in assume-framework/assume. Delivered enhancements to market clearing workflow that reduce compute time for complex scenarios and laid groundwork for testing new algorithms through modularization, while maintaining compatibility and code quality.
November 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Python programmingalgorithm designalgorithm developmentdata analysisoptimizationperformance optimization
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