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What you'll accomplish

By the end of this guide, you'll be able to write Python analytics code for supply chain tasks — ABC inventory analysis, safety stock calculations, demand forecast models — using GitHub Copilot to generate and explain the code, even if you're not a programmer. You'll get real analytical work done without knowing Python fluently.

What you'll need

  • Python installed on your computer (Python 3.9+) — free from python.org
  • VS Code (free code editor) — free from code.visualstudio.com
  • GitHub Copilot subscription ($10/month individual) — sign up at github.com/copilot
  • A CSV file with your supply chain data (inventory data, demand history, or purchase orders)
  • Time needed: 45 minutes to set up; 30-60 minutes per analytics script after that
  • Cost: $10/month (GitHub Copilot)

How-To Guide: Use GitHub Copilot to Write Supply Chain Analytics in Python

Step 1: Install VS Code and Python

  1. Download and install VS Code from code.visualstudio.com
  2. Install Python from python.org (choose "Add to PATH" during installation)
  3. In VS Code, open the Extensions panel (Ctrl+Shift+X) and search for "Python" — install the Microsoft Python extension