JakobKirschner/pandapower
Jul 2025 – Jul 2025
1 Month active
Languages Used
Jupyter NotebookPythonrst
Technical Skills
Backend DevelopmentBug FixingCode RefactoringData EngineeringDocumentationJupyter Notebook
fmarten
PROFILE
Fmarten
Frank Marten enhanced the PowerFactory to pandapower (pf2pp) conversion workflow in the JakobKirschner/pandapower repository, focusing on reliability and user experience. He addressed issues in direct PowerFactory imports and improved converter notebook instructions, ensuring smoother onboarding. By replacing an undeclared function with GetAttribute, he enabled correct zip-load conversions, and updated DC-line geodata handling to align with AC-lines. Frank also revised the changelog and expanded the IPython tutorial with a standard network example and clearer guidance. His work demonstrated proficiency in Python, Jupyter Notebook, and data engineering, resulting in a more robust, maintainable, and user-friendly conversion process.
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 people
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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