From Data to Impact
A Structured Path from Python Fundamentals to Production-Ready Data Science
A structured, project-based learning journey progressing from foundational Python through engineering practices to production-grade ML systems. Covers 10 parts across 20+ chapters — from Python core and NumPy through classical ML, deep learning, LLMs, and MLOps deployment.