Use poetry instead of Pipenv

This commit is contained in:
Alexander Hess 2020-06-29 01:08:07 +02:00
parent 1d8266bba3
commit e4cda219e3
No known key found for this signature in database
GPG key ID: 6F75AAA4E8C99523
4 changed files with 1656 additions and 980 deletions

31
Pipfile
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@ -1,31 +0,0 @@
[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"
[packages]
jupyter = "*"
watermark = "*"
numpy = "*"
pandas = "*"
xlrd = "*"
xlwt = "*"
tabulate = "*"
requests = "*"
matplotlib = "*"
seaborn = "*"
missingno = "*"
sklearn = "*"
statsmodels = "*"
tqdm = "*"
[dev-packages]
black = "*"
blackcellmagic = "*"
pylint = "*"
[requires]
python_version = "3.6"
[pipenv]
allow_prereleases = true

948
Pipfile.lock generated
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@ -1,948 +0,0 @@
{
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"python_version": "3.6"
},
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@ -1,5 +1,44 @@
[build-system]
build-backend = "poetry.masonry.api"
requires = ["poetry>=0.12"]
[tool.black]
line-length = 79
[tool.poetry]
authors = ["Alexander Hess <alexander@webartifex.biz>"]
description = "A case study on predicting house prices in Ames, Iowa"
homepage = "https://github.com/webartifex/ames-housing"
keywords = [
"data-science",
"data-cleaning",
"house-price-prediction",
"machine-learning",
"prediction",
"predictive-analytics",
]
license = "MIT"
name = "ames-housing"
readme = "README.md"
repository = "https://github.com/webartifex/ames-housing"
version = "0.1.0"
[tool.poetry.dependencies]
jupyterlab = "^2.1.5"
matplotlib = "^3.2.2"
missingno = "^0.4.2"
numpy = "^1.19.0"
pandas = "^1.0.5"
python = "^3.7"
requests = "^2.24.0"
seaborn = "^0.10.1"
sklearn = "^0.0"
statsmodels = "^0.11.1"
tabulate = "^0.8.7"
tqdm = "^4.47.0"
xlrd = "^1.2.0"
xlwt = "^1.3.0"
[tool.poetry.dev-dependencies]
black = "^19.10b0"
pylint = "^2.5.3"