O'Reilly Live Training - Automate Tasks with Python + AI

Quick Setup

1. Install UV

Linux/macOS:

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

Windows (PowerShell):

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

2. Clone and Setup Project

Linux/macOS:

git clone https://github.com/EnkrateiaLucca/oreilly-python-course
cd oreilly-python-course
uv venv
source .venv/bin/activate
uv pip install jupyterlab ipykernel openai pandas anthropic ollama requests beautifulsoup4 matplotlib ipywidgets playwright
python -m ipykernel install --user --name=oreilly-python-ai --display-name "O'Reilly Python AI"
playwright install
echo "✅ Setup complete! Run: jupyter lab"

Windows (PowerShell):

git clone https://github.com/EnkrateiaLucca/oreilly-python-course
cd oreilly-python-course
uv venv
.venv\Scripts\activate
uv pip install jupyterlab ipykernel openai pandas anthropic ollama requests beautifulsoup4 matplotlib ipywidgets playwright
python -m ipykernel install --user --name=oreilly-python-ai --display-name "O'Reilly Python AI"
playwright install
Write-Output "✅ Setup complete! Run: jupyter lab"

3. Start Jupyter Lab

# Make sure you're in the project directory
jupyter lab

API Setup

Get your API keys:

1. OpenAI API key
2. Anthropic API key

Setup your .env file

Change the .env.example file to .env and add your API keys:

OPENAI_API_KEY=<your openai api key>
ANTHROPIC_API_KEY=<your claude api key>

What's Included

Dependencies installed:

• AI Libraries: openai, anthropic, ollama
• Data Science: pandas, matplotlib
• Web Scraping: requests, beautifulsoup4, playwright
• Jupyter: jupyterlab, ipykernel, ipywidgets