
During February 2026, Ngangajohn focused on maintaining and stabilizing data visualization features in the malariagen-data-python repository. He addressed a compatibility issue by updating Plotly API calls to align with the latest standards, ensuring that visualizations using Mapbox and Trace methods continued to function correctly. This work involved careful integration of Python code and API methods to reduce the risk of regressions and support ongoing data exploration workflows. By modernizing the visualization components, Ngangajohn improved maintainability and mitigated deprecation risks, demonstrating a solid understanding of API integration, Python programming, and data visualization best practices within a production codebase.
February 2026 - malariagen/malariagen-data-python: Focused on stabilizing and maintaining data visualization capabilities by updating Plotly integration to current API. The primary work delivered this month was a Plotly API Compatibility Update to ensure visualizations render correctly and remain functional with Mapbox and Trace methods. This reduces risk of regressions and supports ongoing data exploration and reporting workflows.
February 2026 - malariagen/malariagen-data-python: Focused on stabilizing and maintaining data visualization capabilities by updating Plotly integration to current API. The primary work delivered this month was a Plotly API Compatibility Update to ensure visualizations render correctly and remain functional with Mapbox and Trace methods. This reduces risk of regressions and supports ongoing data exploration and reporting workflows.

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