flowchart LR
subgraph repo["📦 This repo"]
direction LR
run_script["📄 Run script"]
subgraph conda_env[" 🌐 Anaconda environment "]
python_code["📄 Python code"]
end
end
subgraph alpine["🖥️ Alpine"]
subgraph spacer1[" "]
subgraph spacer2["⚙️⚙️⚙️"]
end
end
end
repo --> | process on | alpine
style conda_env fill:#FEF3C7,stroke:#D97706;
style repo fill:#ffffff,stroke:#444444;
style alpine fill:#ffffff,stroke:#444444;
style spacer1 fill:#ffffff,stroke:#ffffff;
style spacer2 fill:#ffffff,stroke:#ffffff;
Diagram showing this repository's work as being processed on Alpine.
This repository is intended to help demonstrate the use of Python on Alpine, a High Performance Compute (HPC) cluster hosted by the University of Colorado Boulder's Research Computing. We use Python here by way of Anaconda environment management to run code on Alpine.
ℹ️ Please reference this work alongside a the following related blog post: Tip of the Week: Using Python and Anaconda with the Alpine HPC Cluster
Content here was developed by the Software Engineering Team (SET) in the Department of Biomedical Informatics (DBMI) with the University of Colorado Anschutz School of Medicine.