Python AI Training Course

This repository contains materials for the Python AI training course, taking you from Python Zero to MCP Hero.

Setting up your Environment with UV

UV is a fast Python package installer and resolver that can be used as an alternative to pip. This project uses uv for dependency management.

Installing UV

First, install uv using the appropriate method for your operating system:

On Windows:

pip install uv

On macOS/Linux:

pip install uv

Alternatively, you can use the official installer:

On Windows:

(Invoke-WebRequest -Uri https://github.com/astral-sh/uv/releases/latest/download/uv-installer.ps1 -UseBasicParsing).Content | python -

On macOS/Linux:

curl -LsSf https://github.com/astral-sh/uv/releases/latest/download/uv-installer.sh | sh

Setting up the Project

1. Clone the repository:

git clone <repository-url>
cd python-ai-course-python-zero-mcp-hero

2. Create a virtual environment and install dependencies using uv:

uv venv

3. Activate the virtual environment:

   • On Windows: .venv\Scripts\activate
   • On macOS/Linux: source .venv/bin/activate

4. Install project dependencies:

uv pip install -e .

This will install all dependencies specified in the pyproject.toml file.

Installing Jupyter using UV

After setting up your environment, install Jupyter using uv:

uv pip install jupyter notebook

You can also install JupyterLab if you prefer:

uv pip install jupyterlab

Running Jupyter Notebooks

Once Jupyter is installed, you can start a Jupyter notebook server:

jupyter notebook

Or, if you prefer JupyterLab:

jupyter lab

This will open a browser window with the Jupyter interface, allowing you to create and run notebooks.

Managing Dependencies

The project dependencies are managed through the pyproject.toml file. If you need to add a new dependency:

1. Add it to the pyproject.toml file
2. Run:

uv pip install -e .

To update all dependencies to their latest versions according to the constraints in pyproject.toml:

uv pip install -e . --upgrade

Additional Resources

• UV Documentation
• Jupyter Documentation