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 JakobKirschner/pandapower repository by developing and refining core features for power systems modeling and data integration. Over two months, he enhanced shunt and transformer modeling, introducing characteristic table support and more flexible initialization logic to improve backward compatibility and simulation accuracy. He addressed data handling challenges by strengthening SQL and Pandas integration, ensuring robust type mapping and null value management. Jakob also resolved a critical bug in the CIM series compensators converter, improving data consistency. His work, primarily in Python and SQL, demonstrated depth in backend development, data manipulation, and software engineering for complex simulation environments.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
12Total
Bugs
2
Commits
12
Features
4
Lines of code
169
Activity Months2
Your Network
83 peopleSame Organization
@gmx.at50
Florian SchwendingerMember
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Alexander HainMember
Alexander SchölzhornMember
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Anita GraserMember
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Benedikt HuberMember
Shared Repositories
33
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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