pyproject.toml

[project]
name = "ds-python-up"
version = "2026.2"
description = "Ciencia de Datos con Python — Universidad del Pacifico, 2026-II"
requires-python = "==3.12.*"

# Base: lo que necesita cualquier sesion del curso
dependencies = [
  "pandas>=2.2,<3",
  "numpy>=1.26,<3",
  "matplotlib>=3.8",
  "seaborn>=0.13",
  "openpyxl>=3.1",
  "jupyterlab>=4",
  "ipykernel>=6.29",
  "ipywidgets>=8.1",
  "scipy>=1.13",
  "scikit-learn>=1.5",
  "statsmodels>=0.14",
  "huggingface-hub>=1.29.0",
]

# Extras por tema. Instalar solo el que toca: uv sync --group geo
[dependency-groups]
scraping = ["selenium>=4.20", "beautifulsoup4>=4.12", "lxml>=5", "html5lib>=1.1",
            "webdriver-manager>=4", "requests>=2.32", "unidecode>=1.3", "tqdm>=4.67"]
geo      = ["geopandas>=1.0", "folium>=0.17", "mapclassify>=2.6", "pyogrio>=0.9",
            "contextily>=1.6", "shapely>=2.0", "pyproj>=3.6", "geopy>=2.4",
            "rtree>=1.3", "fiona>=1.10", "chardet>=5.2", "plotly>=5.24"]
raster   = [
    "rasterio>=1.3",
    "rioxarray>=0.15",
    "xarray>=2024.6",
    "earthpy>=0.9",
    "osmnx>=1.9",
    "geoplot>=0.5",
    "pykrige>=1.7",
    "rasterstats>=0.21.0",
]
llm      = [
    "anthropic>=0.40",
    "openai>=1.50",
    "chromadb>=0.5",
    "sentence-transformers>=3",
    "python-dotenv>=1.0",
    "pypdf>=5",
    "mcp>=1.0",
    "tiktoken>=0.8",
]
hf       = ["transformers>=4.44", "datasets>=3", "torch>=2.4", "accelerate>=1", "evaluate>=0.4"]
docai    = ["paddleocr>=2.8", "openai-whisper", "pdf2image>=1.17", "pillow>=10"]
agents   = ["crewai>=0.80", "langchain>=0.3"]
deploy   = ["streamlit>=1.38", "fastapi>=0.115", "uvicorn>=0.30"]
practices= ["praw>=7.8", "yfinance>=0.2", "python-dotenv>=1.0"]
dev      = ["nbstripout>=0.7", "ruff>=0.6"]