CLIMADA-project/climada_python
Jul 2025 – Jul 2025
1 Month active
Languages Used
JSONMarkdownPython
Technical Skills
Code FormattingData APIData VisualizationDocumentationGeospatial AnalysisPlotting Utilities
Timo Schmid
PROFILE
Timo Schmid
Tim Schmid worked on the CLIMADA-project/climada_python repository, focusing on enhancing the data API client tutorial and improving plotting utilities. He updated the tutorial notebook to clarify dataset properties and execution flow, making onboarding easier for new users. In parallel, he refactored plotting modules by adjusting default parameters and integrating cartopy features for more accurate geospatial visualizations. His contributions emphasized code formatting and documentation, ensuring consistency and maintainability across the codebase. Using Python, Markdown, and JSON, Tim’s work addressed user experience and technical clarity, providing depth in both instructional content and visualization tools without introducing new bug fixes during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
1,208
Activity Months1
Your Network
18 peopleSame Organization
@usys.ethz.ch5
Work History
July 2025
4 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary focusing on key accomplishments in the CLIMADA Python project. Deliverables centered on enhancing user onboarding for the data API client and improving visualization quality and maintainability. No major bugs reported this month; activity focused on tutorials, plotting, and documentation to accelerate adoption and retention, with attention to code quality and consistency across the repo.
4 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary focusing on key accomplishments in the CLIMADA Python project. Deliverables centered on enhancing user onboarding for the data API client and improving visualization quality and maintainability. No major bugs reported this month; activity focused on tutorials, plotting, and documentation to accelerate adoption and retention, with attention to code quality and consistency across the repo.
July 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture85.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONMarkdownPython
Technical Skills
Code FormattingData APIData VisualizationDocumentationGeospatial AnalysisPlotting UtilitiesPythonTutorial Development
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