🐍 Getting Started with Python for AI Projects

Before you build your first AI project, you need a working Python setup. This guide is designed to keep things simple, practical, and beginner-friendly.

1️⃣ Install Python

Check if Python is already installed:

python --version
# or
python3 --version

If you see a version number (e.g. Python 3.11), you’re ready to go.
If not, install Python from
python.org.

Windows users: tick “Add Python to PATH” during installation.

2️⃣ Install a Code Editor

A code editor helps you manage and write Python projects more efficiently.

Recommended: VS Code

3️⃣ Create Your Project Folder

mkdir ai-projects
cd ai-projects

This creates a clean workspace for your AI projects.

4️⃣ Set Up Virtual Environment

A virtual environment keeps your dependencies isolated.

python -m venv venv

Activate it:

  • Windows: venv\Scripts\activate
  • Mac/Linux: source venv/bin/activate

If you see (venv), it is active.

5️⃣ Install AI Libraries

pip install openai jupyter
  • openai: Connects Python to AI models for text generation and analysis
  • jupyter: Interactive notebook for testing AI code step-by-step

6️⃣ Start Jupyter Notebook

jupyter notebook

A browser will open — this is your AI coding workspace.

Create your first notebook:

  1. Click New → Python 3
  2. Run this code:
print("Hello, KO7 AI!")

Press Shift + Enter to execute.

7️⃣ How Jupyter Works

  • Cells: Code or text blocks
  • Run: Execute instantly
  • Markdown: Add explanations and notes
## My AI Project
Step-by-step AI learning notebook:
1. Setup environment
2. Install libraries
3. Build AI tool
4. Test results

8️⃣ Save & Stop

  • 💾 Save: Ctrl + S / Cmd + S
  • 🛑 Close: File → Close and Halt

💡 Beginner Tips

  • Always activate your virtual environment first
  • Use pip list to check installed packages
  • Keep each project in its own folder
  • Errors are part of learning

🚀 You are now ready to build your first AI project — such as a text summariser or simple chatbot.

👉 Explore KO7 AI Projects