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Conda Environment Setup on VT ARC HPC

This guide walks you through setting up and using a Conda Python environment on the Virginia Tech ARC system using the provided Miniconda module.

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Step 1: Load Miniconda Module

ARC provides Miniconda via modules. Load it like this:

module load Miniconda3/24.7.1-0

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Step 2: Create and Activate a Conda Environment

Create a new environment named myenv with Python 3.9:

conda create --name myenv python=3.9

Activate it:

conda activate myenv

Install commonly used packages:

conda install numpy pandas matplotlib

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Step 3 (Optional): Create from environment.yml

If you already have an environment file:

conda env create -f environment.yml
conda activate myenv

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Step 4: Save or Remove Environment

Export your environment:

conda env export > environment.yml

Remove an environment:

conda remove --name myenv --all

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Tips

• Conda environments are stored in your $HOME, so they persist across sessions.
• Use named environments instead of modifying the base environment.
• Deactivate any active environment with:

conda deactivate

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TL;DR Quick Start

module load Miniconda3/24.7.1-0
conda create -n myenv python=3.9
conda activate myenv
conda install numpy pandas

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Resources

• Conda Docs: https://docs.conda.io
• VT ARC HPC: https://arc.vt.edu