ecmwf/earthkit-data
Nov 2024 – Nov 2024
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
API IntegrationData RetrievalData VisualizationExample DevelopmentGeospatial Data Handling
Adam Warde
PROFILE
Adam Warde
During November 2024, Andrew Warde developed a Feature Extraction Demo Notebook for the ecmwf/earthkit-data repository, focusing on end-to-end workflows for geospatial data analysis. He implemented timeseries retrieval, area extraction using the polytope source, and country-level plotting with earthkit-geo, all within a Jupyter Notebook environment using Python. This example serves as a practical, reusable template for users to prototype feature extraction pipelines, addressing onboarding and educational needs. Andrew’s work demonstrated proficiency in API integration, data retrieval, and data visualization, providing a concrete resource that deepens the earthkit-data library’s documentation and supports real-world geospatial data handling scenarios.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
949
Activity Months1
Your Network
26 people
Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a practical Feature Extraction Demo Notebook for the earthkit-data repo, showcasing end-to-end feature extraction workflows including timeseries retrieval, area extraction via the polytope source, and country plotting with earthkit-geo. This concrete example improves onboarding, demonstrates real-world use cases, and provides a reusable template for users to prototype feature extraction pipelines. The work is anchored in the earthkit-data feature set and linked to issue #540; commit 023333c2d3d8fd9a1d8e5f00e5883debf3f7a082 adds the notebook.
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a practical Feature Extraction Demo Notebook for the earthkit-data repo, showcasing end-to-end feature extraction workflows including timeseries retrieval, area extraction via the polytope source, and country plotting with earthkit-geo. This concrete example improves onboarding, demonstrates real-world use cases, and provides a reusable template for users to prototype feature extraction pipelines. The work is anchored in the earthkit-data feature set and linked to issue #540; commit 023333c2d3d8fd9a1d8e5f00e5883debf3f7a082 adds the notebook.
November 2024
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
API IntegrationData RetrievalData VisualizationExample DevelopmentGeospatial Data Handling
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline