e2nIEE/pandapower
Sep 2025 – Sep 2025
1 Month active
Languages Used
JSONPythonreStructuredText
Technical Skills
API IntegrationData VisualizationDocumentationError HandlingFull Stack DevelopmentJupyter Notebooks
Bastien Ewbank
PROFILE
Bastien Ewbank
Worked on the e2nIEE/pandapower repository to upgrade the plotting backend from Mapbox to MapLibre, introducing initial zoom level controls to enhance map visualization in Jupyter Notebooks. Addressed error handling by implementing a fallback mechanism with a dummy Mapbox token, preventing runtime failures when user tokens are absent. Updated documentation and notebook tutorials to reflect these changes, improving clarity for new contributors and users. The work focused on increasing reproducibility and reducing support overhead by making plotting more robust and user-friendly. Utilized Python, plotting libraries, and reStructuredText to deliver a maintainable, open-source-friendly solution for data visualization workflows.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
1
Lines of code
185
Activity Months1
Your Network
27 peopleSame Organization
@uliege.be5
Atri BhattacharyaMember
Jakub DuchateauMember
Justin IurmanMember
Maarten ArnstMember
Martin GrignardMember
Work History
September 2025
5 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for e2nIEE/pandapower: Delivered an open-source-friendly plotting backend upgrade, robust error handling, and refreshed documentation to improve reproducibility, reliability, and developer onboarding. The work focuses on business value by enhancing user experience in notebooks and reducing support overhead through better stability and clarity.
5 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for e2nIEE/pandapower: Delivered an open-source-friendly plotting backend upgrade, robust error handling, and refreshed documentation to improve reproducibility, reliability, and developer onboarding. The work focuses on business value by enhancing user experience in notebooks and reducing support overhead through better stability and clarity.
September 2025
Activity
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Quality Metrics
Correctness86.0%
Maintainability84.0%
Architecture78.0%
Performance84.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONPythonreStructuredText
Technical Skills
API IntegrationData VisualizationDocumentationError HandlingFull Stack DevelopmentJupyter NotebooksPlottingPlotting LibrariesPythonPython Development
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