pyproject.toml

[project]
name = "artifact-foundry"
version = "0.1.0"
description = "Personal learning repository for hands-on machine learning, deep learning, and data science implementations"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
    "numpy>=1.24.0",
    "pandas>=2.0.0",
]

[project.optional-dependencies]
# Classical Machine Learning
ml = [
    "scikit-learn>=1.3.0",
    "scipy>=1.11.0",
    "statsmodels>=0.14.0",
    "xgboost>=2.0.0",
    "lightgbm>=4.0.0",
    "optuna>=3.0.0",
    "shap>=0.40.0",
]

# Deep Learning
dl = [
    "torch>=2.0.0",
    "torchvision>=0.15.0",
    "tensorflow>=2.13.0",
    "keras>=2.13.0",
]

# Visualization
viz = [
    "matplotlib>=3.7.0",
    "seaborn>=0.12.0",
    "plotly>=5.14.0",
    "bokeh>=3.1.0",
    "rich>=13.0.0",
]

# Jupyter & Notebooks
notebooks = [
    "jupyter>=1.0.0",
    "jupyterlab>=4.0.0",
    "ipykernel>=6.23.0",
    "ipywidgets>=8.0.0",
    "notebook>=7.0.0",
]

# Development Tools
dev = [
    "pytest>=7.3.0",
    "black>=23.3.0",
    "ruff>=0.0.270",
    "mypy>=1.3.0",
    "isort>=5.12.0",
]

# All dependencies (convenience group)
all = [
    "artifact-foundry[ml,dl,viz,notebooks,dev]",
]

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[tool.setuptools]
# No packages to install - this is just for dependency management
py-modules = []