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# Core scientific stack numpy>=1.22 pandas>=1.5 scipy>=1.8 scikit-learn>=1.1 matplotlib>=3.5 tqdm>=4.64 # Geospatial and remote sensing rasterio>=1.3 geopandas>=0.12 shapely>=2.0 xarray>=2022.3 netCDF4>=1.6 # Visualization and mapping cartopy>=0.21 seaborn>=0.12 # Machine learning / advanced models scikit-optimize>=0.9 lightgbm>=3.3 xgboost>=1.7 # Utilities joblib>=1.2 pyyaml>=6.0 # Optional: Jupyter support for reproducible workflows notebook>=6.5 jupyterlab>=3.5 |