35 lines
756 B
TOML
35 lines
756 B
TOML
[build-system]
|
|
requires = ["poetry-core>=1.0.0"]
|
|
build-backend = "poetry.core.masonry.api"
|
|
|
|
[tool.poetry]
|
|
name = "intro-to-data-science"
|
|
version = "0.1.0.dev0"
|
|
|
|
authors = [
|
|
"Alexander Hess <alexander@webartifex.biz>",
|
|
]
|
|
description = "An intro to data science for absolute beginners"
|
|
keywords = [
|
|
"python",
|
|
"data-science",
|
|
"machine-learning",
|
|
"matplotlib",
|
|
"numpy",
|
|
"seaborn",
|
|
"sklearn",
|
|
]
|
|
license = "MIT"
|
|
|
|
readme = "README.md"
|
|
homepage = "https://github.com/webartifex/intro-to-data-science"
|
|
repository = "https://github.com/webartifex/intro-to-data-science"
|
|
|
|
[tool.poetry.dependencies]
|
|
python = "^3.8"
|
|
jupyterlab = "^3.0.16"
|
|
matplotlib = "^3.4.2"
|
|
numpy = "^1.20.3"
|
|
scikit-learn = "^0.24.2"
|
|
|
|
[tool.poetry.dev-dependencies]
|