Setting up the Environment

Before you can run code for this tutorial, you need to set up your environment.

This section walks you through:

1. Getting the tutorial code.
2. Setting up your Python environment.
3. Verifying everything is working.

Step 1: Clone the Tutorial Repository

Clone the code repository from GitHub:

git clone https://github.com/ALPHA-g-Experiment/ml-tutorial.git
cd ml-tutorial/code

Step 2: Set Up Your Python Environment

The easiest way to set up your environment is to install uv.

After installing uv, you can create and activate a virtual environment with the following commands:

uv venv --python 3.12
source .venv/bin/activate

Finally, install the required packages:

uv pip install -r requirements.txt

Step 3: Verify the Setup

To verify that everything is set up correctly, run the following command:

python -c "import torch; print(torch.__version__)"

If you see the version of PyTorch printed without any errors, your setup is successful.