Project.toml

name = "JuliaProbo"
uuid = "3c270a3a-2612-4193-9bf7-68cd93c8ae26"
authors = ["soblin"]
version = "0.1.0"

[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a"
ImageIO = "82e4d734-157c-48bb-816b-45c225c6df19"
Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0"
JuliaFormatter = "98e50ef6-434e-11e9-1051-2b60c6c9e899"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
Seaborn = "d2ef9438-c967-53ab-8060-373fdd9e13eb"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StatsFuns = "4c63d2b9-4356-54db-8cca-17b64c39e42c"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"

[extras]
JuliaFormatter = "98e50ef6-434e-11e9-1051-2b60c6c9e899"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test", "JuliaFormatter"]