Image-Analysis-Hub/Pasteur-BioImage-Analysis-Course-2025
May 2025 – May 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data AnalysisDocumentation ManagementImage ProcessingJupyter NotebookMachine LearningPython
Joanna Pylvänäinen
PROFILE
Joanna Pylvänäinen
Contributed to the Image-Analysis-Hub/Pasteur-BioImage-Analysis-Course-2025 repository by developing two production-quality features focused on image analysis and educational outreach. Delivered an interactive Jupyter Notebook for quality control, incorporating updated dependency management, optimized data loading, and real-time image preview capabilities to generate visualizations and metrics for image analysis workflows. Additionally, expanded the course’s educational resources by adding comprehensive lecture and workshop materials in PDF format, supporting the Pasteur 2025 curriculum. The work demonstrated proficiency in Python, data analysis, and documentation management, with an emphasis on reproducibility, user experience, and the integration of machine learning concepts into practical teaching tools.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
0
Activity Months1
Your Network
16 peopleWork History
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 monthly performance summary for Image-Analysis-Hub/Pasteur-BioImage-Analysis-Course-2025. Focused on delivering two key features with production-quality impact and educational resources, while no major bugs were reported this month. Overall impact includes improved QC capabilities, smoother data loading, and expanded educational materials for Pasteur 2025. Technologies/skills demonstrated include notebook development, dependency management, data-loading optimization, interactive visualizations, and content curation for outreach.
2 Commits • 2 Features
May 1, 2025May 2025 monthly performance summary for Image-Analysis-Hub/Pasteur-BioImage-Analysis-Course-2025. Focused on delivering two key features with production-quality impact and educational resources, while no major bugs were reported this month. Overall impact includes improved QC capabilities, smoother data loading, and expanded educational materials for Pasteur 2025. Technologies/skills demonstrated include notebook development, dependency management, data-loading optimization, interactive visualizations, and content curation for outreach.
May 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data AnalysisDocumentation ManagementImage ProcessingJupyter NotebookMachine LearningPython
Repositories Contributed To
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