The entire supply chain data science handbook as Jupyter notebooks — free alternative to a $60 textbook.

Inspired by Jake VanderPlas's Python Data Science Handbook, specialized for supply chain.

This is the complete reference for applying data science to supply chain problems. Every chapter is a self-contained Jupyter notebook that teaches you the technique AND shows you how to apply it to real SC data.

Unlike generic data science courses, every example uses supply chain data: purchase orders, shipment records, inventory snapshots, demand time series, supplier financials, and logistics networks.

git clone https://github.com/virbahu/supply-chain-data-science-handbook.git cd supply-chain-data-science-handbook pip install -r requirements.txt jupyter notebook

Virbahu Jain — Founder & CEO, Quantisage

Building the AI Operating System for Scope 3 emissions management and supply chain decarbonization.

If you find this useful, please ⭐ star this repo — it helps others discover it!

MIT License — see LICENSE for details.

_{Part of the Quantisage Open Source Initiative | AI × Supply Chain × Climate}