JakobKirschner/pandapower
Jul 2025 – Jul 2025
1 Month active
Languages Used
Jupyter NotebookPythonrst
Technical Skills
Backend DevelopmentBug FixingCode RefactoringData EngineeringDocumentationJupyter Notebook
fmarten
PROFILE
Fmarten
Worked on the JakobKirschner/pandapower repository to enhance the PowerFactory to pandapower (pf2pp) conversion workflow, focusing on improving reliability and user experience. Consolidated four targeted commits that addressed direct import issues, corrected zip-load conversions by replacing an undeclared function, and aligned DC-line geodata handling with AC-line standards. Updated documentation and the IPython tutorial to provide clearer instructions and a standard network example, reducing user error and streamlining onboarding. Utilized Python and Jupyter Notebook for backend development, data handling, and documentation. The work improved maintainability and usability of the pf2pp workflow, supporting more robust and accessible power system conversions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
211
Activity Months1
Your Network
46 peopleShared Repositories
33
Work History
July 2025
4 Commits • 1 Features
Jul 1, 2025July 2025 monthly delivery for JakobKirschner/pandapower focused on strengthening the PowerFactory to pandapower (pf2pp) conversion workflow. Four commits were consolidated to improve reliability, usability, and documentation: (1) fix direct import of PowerFactory as pf and enhance converter notebook instructions; (2) fix zip-load conversion by replacing the undeclared ga function with GetAttribute; (3) correct DC-line geodata handling by replacing line_dc_geodata with the geo attribute to align with AC-lines; (4) update changelog and enhance the IPython tutorial with a standard network example and clearer descriptions. These changes reduce user error, accelerate adoption, and improve end-to-end PF2PP conversions. Overall impact includes higher reliability, better user guidance, and maintainability of the conversion workflow. Demonstrated technologies and skills include Python, Jupyter/IPython notebooks, data handling, API usage, and documentation practices.
4 Commits • 1 Features
Jul 1, 2025July 2025 monthly delivery for JakobKirschner/pandapower focused on strengthening the PowerFactory to pandapower (pf2pp) conversion workflow. Four commits were consolidated to improve reliability, usability, and documentation: (1) fix direct import of PowerFactory as pf and enhance converter notebook instructions; (2) fix zip-load conversion by replacing the undeclared ga function with GetAttribute; (3) correct DC-line geodata handling by replacing line_dc_geodata with the geo attribute to align with AC-lines; (4) update changelog and enhance the IPython tutorial with a standard network example and clearer descriptions. These changes reduce user error, accelerate adoption, and improve end-to-end PF2PP conversions. Overall impact includes higher reliability, better user guidance, and maintainability of the conversion workflow. Demonstrated technologies and skills include Python, Jupyter/IPython notebooks, data handling, API usage, and documentation practices.
July 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonrst
Technical Skills
Backend DevelopmentBug FixingCode RefactoringData EngineeringDocumentationJupyter NotebookPowerFactory IntegrationPython
Repositories Contributed To
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