Financial Engineering with Python

Most finance books teach the math in a vacuum, or the code as a series of disconnected snippets. But in the real world, the math only matters if you can implement it safely, and the code only matters if it reflects the underlying financial logic.

This book bridges the gap. You will learn to derive the core models of financial engineering—from Black-Scholes to Monte Carlo simulations—and build them from scratch in Python. You will move from data access and cleaning into statistics, visualization, and full project work, treating assumptions as part of the lesson, not as footnotes.