Version: Python 3

Install either the

– OR –

Separately the following packages:

  • numpy
  • scipy
  • scikit-learn
  • scikit-image
  • pandas
  • matplotlib
  • jupyter

As a second IDE you can use


Version: 3 for Windows, for common Linux distributions R can be installed via package manager

Install the following packages:

  • tidyverse
  • randomForest
  • caret
  • Hmisc

After installing R, packages can be installed from within R:

install.packages(c("tidyverse", "randomForest", "caret", "Hmisc"))

IDE needs to be installed/setup separately:


  • Java 8+

IDE needs to be installed separately:

  • IntelliJ IDEA Ultimate or Community Edition
  • Scala plugin
  • SBT plugin


  • o365 license
  • Desktop version under “Network installations” on computers in lab