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
Contributed to the pandapower repository by delivering four new features and resolving two bugs over a two-month period, focusing on power systems analysis and backend development. Enhanced shunt and transformer modeling by introducing characteristic table-based calculations and relaxing required fields for transformer creation, improving flexibility and backward compatibility. Strengthened data integration between pandas and SQL databases by refining Int64 and NULL handling, and implemented a compatibility workaround for lightsim2grid. Addressed data initialization and tap dependency bugs to ensure simulation reliability and data consistency. Work was primarily implemented in Python and SQL, emphasizing robust data manipulation, software testing, and maintainability.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
12Total
Bugs
2
Commits
12
Features
4
Lines of code
169
Activity Months2
Your Network
89 peopleSame Organization
@gmx.at56
Florian SchwendingerMember
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Alexander HainMember
Alexander SchölzhornMember
azoitlMember
Andreas SchrammelMember
Anita GraserMember
xp3ri3nc3Member
Bernd ReißMember
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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