JakobKirschner/pandapower
Nov 2024 – Dec 2024
2 Months active
Languages Used
PythonSQL
Technical Skills
Backend DevelopmentData ConversionAPI DevelopmentBug FixingBuild SystemsData Handling
Jakob Kirschner
PROFILE
Jakob Kirschner
Jakob Kirschner contributed to the pandapower repository by developing and refining core features for power systems modeling and data integration. He enhanced shunt and transformer modeling, introducing characteristic table support and more flexible initialization logic to improve backward compatibility and simulation accuracy. Using Python and SQL, Jakob strengthened data transfer between pandas and SQL databases, addressing type mapping and null value handling for robust integration. He also resolved a data initialization bug in the CIM series compensators converter, ensuring consistent model behavior. His work demonstrated depth in backend development, data manipulation, and software engineering, resulting in more reliable and maintainable code.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
12Total
Bugs
2
Commits
12
Features
4
Lines of code
169
Activity Months2
Your Network
77 people
Work History
December 2024
11 Commits • 4 Features
Dec 1, 2024Monthly summary for 2024-12 focused on Pandapower development. Key features delivered across shunt modeling, transformer creation defaults, data integration robustness, and compatibility workarounds. Notable improvements include backward-compatible shunt characteristics, more flexible transformer initialization, robust SQL-Pandas data transfers, and build-branch fixes that improve data processing reliability.
11 Commits • 4 Features
Dec 1, 2024Monthly summary for 2024-12 focused on Pandapower development. Key features delivered across shunt modeling, transformer creation defaults, data integration robustness, and compatibility workarounds. Notable improvements include backward-compatible shunt characteristics, more flexible transformer initialization, robust SQL-Pandas data transfers, and build-branch fixes that improve data processing reliability.
December 2024
November 2024
1 Commits
Nov 1, 2024November 2024 monthly summary for JakobKirschner/pandapower: Focused maintenance and bug remediation to strengthen data integrity and simulation reliability. No new features released this month; primary effort centered on correcting a data initialization bug in the CIM series compensators converter to ensure consistent pu values and predictable model behavior.
November 2024
1 Commits
Nov 1, 2024November 2024 monthly summary for JakobKirschner/pandapower: Focused maintenance and bug remediation to strengthen data integrity and simulation reliability. No new features released this month; primary effort centered on correcting a data initialization bug in the CIM series compensators converter to ensure consistent pu values and predictable model behavior.
Activity
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Quality Metrics
Correctness79.0%
Maintainability83.4%
Architecture78.4%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
API DevelopmentBackend DevelopmentBug FixingBuild SystemsData ConversionData HandlingData ManipulationDatabase IntegrationDataframe ManipulationLibrary DevelopmentModel IntegrationNumerical ComputationPower Systems AnalysisSQLSoftware Development
Repositories Contributed To
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