Run the code on your own machine

To follow along on your own machine, follow these instructions:

1. Open a terminal (or Git Bash if you’re using Windows)

   If you’re using Windows

   We recommend that you install Git and Git Bash, unless you are using Windows Subsystem for Linux (WSL). You should be able to do this by running the following command in command prompt or Powershell:

   winget install --id Git.Git -e --source winget

   If this doesn’t work, then follow the instructions on the Git website.

   If you want to use PowerShell you can try looking on the winstall website.

   Remember to restart your terminal afterwards!

2. Install uv by running:

   curl -LsSf https://astral.sh/uv/install.sh | sh

   Close and re-open your terminal, if the installer requests this.

   If you have uv installed already

   Upgrade to the latest version of uv before continuing, by running uv self update, or by upgrading through whatever means you used to install uv originally (for example, Homebrew users would run brew upgrade uv).

3. Download the course content:

   git clone https://github.com/Bristol-Training/intro-to-ai
   cd intro-to-ai

4. Check your PyTorch version:

   uv run python -c "import torch; print('PyTorch version', torch.__version__)"

   This command will automatically download the version of Python and associated libraries that are required for the course, before displaying the version of PyTorch on the screen. This should be something like 2.7.0.

5. Run Jupyter Lab:

   uv run jupyter lab notebooks

   In future, just re-run this command to get access to the course again.