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 you through the most important aspects of using Python for quantitative finance.
Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include:
"synopsis" may belong to another edition of this title.
Yves Hilpisch is the founder and managing partner of The Python Quants, an analytics software provider and financial engineering group. The Python Quants offer, among others, the Python Quant Platform (http://quant-platform.com) and DX Analytics (http://dx-analytics.com). Yves also lectures on mathematical finance and organizes meetups and conferences about Python for Quantitative Finance in New York and London.
"About this title" may belong to another edition of this title.
Shipping:
US$ 4.25
Within U.S.A.
Book Description Paperback. Condition: new. Prompt service guaranteed. Seller Inventory # Clean1491945281
Book Description Paperback. Condition: new. New. Fast Shipping and good customer service. Seller Inventory # Holz_New_1491945281
Book Description Condition: new. Seller Inventory # newMercantile_1491945281
Book Description Condition: new. Seller Inventory # FrontCover1491945281
Book Description Paperback. Condition: new. New Copy. Customer Service Guaranteed. Seller Inventory # think1491945281
Book Description Paperback. Condition: new. New. Seller Inventory # Wizard1491945281