code-workout-python/environment.base.yml at master · codingalzi/code-workout-python · GitHub

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# Conda environment spec to update the base environment for data analysis
# Apply with:
#   conda env update -n base -f environment.base.yml
# Dry-run first to preview changes:
#   conda env update -n base -f environment.base.yml --dry-run

name: base
channels:
  - conda-forge
  - defaults

dependencies:
  # Core Python runtime will follow the existing base's Python version
  # - python
  # Pip Manager
  - pip

  # Jupyter Environment
  - jupyterlab
  - jupyterlab-myst
  - notebook        # Classic Jupyter Notebook UI
  - ipykernel       # Kernel for Jupyter
  - ipywidgets      # Interactive widgets

  # Documentation
  - jupyter-book

  # Core Data Science
  - numpy
  - pandas
  - pyarrow
  - scipy
  - statsmodels
  - pillow          # Image processing
  - openpyxl        # Excel xlsx
  - xlrd            # Older xls
  - lxml            # HTML/XML parsing

  # Machine Learning
  - scikit-learn
  - lightgbm
  - xgboost
  - catboost
  - flaml
  - optuna

  # Visualization
  - matplotlib
  - seaborn
  - graphviz        # Decision tree visualization
  - python-graphviz
  - pydot

  # Utilities
  - requests
  - tqdm

  # Interpretability
  - shap

  - pip:
    # Kaggle & Data
    - kagglehub                 # Kaggle datasets

    # Advanced ML Tools (pip-only)
    - optuna-dashboard          # Optuna dashboard
    - interpret                 # InterpretML
    - dcor                      # Distance correlation