Alexander Hess
33f2e74c64
- jupyterlab => ^3.1 - matplotlib => ^3.4 - numpy => ^1.21 - pandas => ^1.3 - scikit-learn => ^1.0 - various transient dependencies
37 lines
763 B
TOML
37 lines
763 B
TOML
[build-system]
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requires = ["poetry-core>=1.0.0"]
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build-backend = "poetry.core.masonry.api"
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[tool.poetry]
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name = "intro-to-data-science"
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version = "0.1.0.dev0"
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authors = [
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"Alexander Hess <alexander@webartifex.biz>",
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]
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description = "An intro to data science for absolute beginners"
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keywords = [
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"python",
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"data-science",
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"machine-learning",
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"matplotlib",
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"numpy",
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"seaborn",
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"sklearn",
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]
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license = "MIT"
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readme = "README.md"
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homepage = "https://github.com/webartifex/intro-to-data-science"
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repository = "https://github.com/webartifex/intro-to-data-science"
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[tool.poetry.dependencies]
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python = "^3.8"
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jupyterlab = "^3.1"
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matplotlib = "^3.4"
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numpy = "^1.21"
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pandas = "^1.3"
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scikit-learn = "^1.0"
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[tool.poetry.dev-dependencies]
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