<P><STRONG><EM>Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering</EM></STRONG> bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors. <BR><BR><STRONG>Features</STRONG></P><UL><LI>Useful as both a teaching resource and as a practical tool for professional investors.</LI><LI>Ideal textbook for first year graduate students in quantitative finance programs, such as those in master¿s programs in Mathematical Finance, Quant Finance or Financial Engineering.</LI><LI>Includes a perspective on the future of quant finance