Python for finance: mastering data-driven finance (Second edition.)

The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems.

This hands-on guide helps both developers and quantitative analysts get started with Python, and guides them through the most important aspects of using Python for quantitative finance.

Using practical examples through, author Yves Hilpisch also shows how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study.