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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: API Fundamentals & Authentication | 20% | - Authentication methods (username/password, API key, OAuth) - GIS object initialization and connection - Module structure and core architecture |
| Topic 2: Spatial Data & Analysis | 30% | - Spatially enabled DataFrames - Geoprocessing and spatial analysis tools - Raster and imagery processing - Attribute and spatial querying |
| Topic 3: Mapping & Visualization | 15% | - Add and configure layers and symbology - Export and visualize outputs - Create and modify maps and scenes |
| Topic 4: Automation & Integration | 10% | - Scripting and workflow automation - Error handling and best practices - Integration with Python ecosystem (pandas, NumPy, etc.) |
| Topic 5: Content & Item Management | 25% | - Publish and share layers, maps, and services - Manage groups, users, and permissions - Search, retrieve, and update portal items |
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