Short, practical guides for getting common software running on your RACE environment — regardless of which platform you’re on. Each guide notes platform-specific differences where they matter.
Data Science & Analysis
Guide
Description
Jupyter Notebooks
Interactive computing for data science and research
Anaconda / Conda
Python distribution and environment management
RStudio
IDE for R programming and statistical analysis
HPC & Simulation
These guides assume you have a running environment. If you don’t yet, start here:
Package Managers Quick Reference
OS / Platform
Package Manager
Notes
Amazon Linux 2
yum
Use amazon-linux-extras for extras
Ubuntu
apt
Most common Linux distro
Windows
winget / choco
Or download installers directly
PCluster
Spack
Best for HPC/scientific software
Any (Python)
conda / pip
See Anaconda guide
Need Help?
If you hit issues with software installation, check the Support & Troubleshooting section or contact the RACE team .