ames-housing/pyproject.toml

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[build-system]
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requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
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[tool.poetry]
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name = "ames-housing"
version = "0.1.0.dev0"
authors = [
"Alexander Hess <alexander@webartifex.biz>",
]
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description = "A case study on predicting house prices in Ames, Iowa"
keywords = [
"data-science",
"data-cleaning",
"house-price-prediction",
"machine-learning",
"prediction",
"predictive-analytics",
]
license = "MIT"
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readme = "README.md"
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homepage = "https://github.com/webartifex/ames-housing"
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repository = "https://github.com/webartifex/ames-housing"
[tool.poetry.dependencies]
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python = "^3.8"
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jupyterlab = "^3.0.16"
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numpy = "^1.20.3"
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[tool.poetry.dev-dependencies]
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black = "^21.5b1"
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pylint = "^2.8.2"