| # 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 | |