pyproject.toml

[tool.poetry]
name = "data-science-learning-paths"
version = "0.2.0"
description = "Basic and advanced data science course material"
repository = "https://github.com/point8/data-science-learning-paths"
authors = []
license = "Attribution-NonCommercial-ShareAlike 4.0 International"

packages = [
    { include = "data_science_learning_paths", from = "library" },
]

[tool.poetry.dependencies]
python = ">=3.8,<3.11"
bs4 = "^0.0.1"
findspark = "^2.0.1"
holidays = "^0.16"
jupyter = "^1.0.0"
jupyterlab = "^3.5.0"
jupyterthemes = "^0.20.0"
LunarCalendar = "^0.0.9"
matplotlib = "^3.6.2"
msgpack = "^1.0.4"
nbstripout = "^0.6.1"
nltk = "^3.7"
opencv-python = "^4.6.0"
openpyxl = "^3.0.10"
pandas = "^1.5.1"
pandas-datareader = "^0.10.0"
Pillow = "^9.3.0"
plotly = "^5.11.0"
python-dateutil = "^2.8.2"
scikit-learn = "^1.1.3"
scikit-surprise = "^1.1.3"
seaborn = "^0.12.1"
shap = "^0.41.0"
statsmodels = "^0.13.5"
tqdm = "^4.64.1"
tsfresh = "^0.19.0"
yellowbrick = "^1.5"
tweepy = "^4.12.1"
networkx = "^2.8.8"
sktime = "^0.14.0"
tensorflow = ">2"

[tool.poetry.dev-dependencies]

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"