-$ENV:PATH+=";C:\Program Files\Microsoft VS Code\bin" # One Editor to rule them all
-$ENV:PATH+=";C:\Program Files\Python38\Scripts\;C:\Program Files\Python38\" # Python latest as of 2019 December
-$ENV:PATH+=";C:\ProgramData\DockerDesktop\version-bin;C:\Program Files\Docker\Docker\Resources\bin" # Docker for R Studio and Jupyter
-$ENV:PATH+=";C:\Program Files (x86)\Common Files\Oracle\Java\javapath" # Don't remember why I still care about Java.
-$ENV:PATH+=";C:\Program Files\Git\cmd" # Version control is nice.
-$ENV:PATH+=";C:\ProgramData\chocolatey\bin" # Package management is nice.
-$ENV:PATH+=";C:\Program Files\nodejs" # KataKoda wants to add tools via npm
-$ENV:PATH+=";C:\PENGUIN" # Flag to ensure my profile kicked in.
-
-
-function Find-LargeFiles() {
- Get-ChildItem c:\ -r| sort -descending -property length | select -first 10 name, Length, Location
-}
-
-
-function Start-Vault() {
- consul agent -dev # Run in Dev Mode
- vault sever -config c:\src\dotfiles\vaultconfig.hcl -address=http://127.0.0.1:8200 # Use local dev Consul as storage
-}
-
-function New-DockerRStudio() {
- docker run --name=rpython -Pit -p 8888:8888 -p 8787:8787 -p 8022:22 -p 6006:6006 -v c:\src\data:/mnt/data datascienceschool/rpython
-}
-function Start-DockerRStudio() {
- docker start rpython
- Write-Host "R Studio is running at http://localhost:8787/"
- Write-Host "Jupyter is running at http://localhost:8888/"