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base_packages.yml
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55 lines (42 loc) · 1.79 KB
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name: optimization_datascience_env
channels:
- conda-forge
- defaults
dependencies:
# Core Python and optimization
- python=3.11
- ipopt=3.11.1
- pip
# Scientific computing
- numpy
- scipy
- sympy
- pandas
- numba
- dask
# Statistics
- statsmodels
- scikit-learn
- pingouin # Advanced statistical functions
# Visualization
- matplotlib
- seaborn
- plotly
# Image processing
- pillow
- scikit-image
# Geospatial analysis
- geopandas
- folium
# Other useful libraries
- networkx
- pyomo # Optimization modeling language
- beautifulsoup4 # Web scraping
- requests # HTTP library
- tqdm # Progress bars
- h5py # Handling HDF5 files
# Development tools
- pytest
- black
- flake8
# Note: You may want to specify versions for these packages if you need specific versions.