Python for Finance : Mastering Data-Driven Finance - 2nd edition

2nd edition. Introduces the libraries and tools that developers and quantitative analysts need for development and financial analytics.

About the author

Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants (http://tpq.io), a group that focuses on the use of open source technologies for financial data science, algorithmic trading and computational finance. He is the author of the books Python for Finance (O'Reilly, 2014), Derivatives Analytics with Python (Wiley, 2015) and Listed Volatility and Variance Derivatives (Wiley, 2017). Yves lectures on computational finance at the CQF Program (http://cqf.com), on data science at htw saar University of Applied Sciences (http://htwsaar.de), and is the director for the online training program leading to the first Python for Finance University Certificate (awarded by htw saar).

Summary

Using practical examples throughout 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.

Product details

• Authors: Yves Hilpisch, Hilpisch Yves
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 31.01.2019
• EAN: 9781492024330
• ISBN: 978-1-4920-2433-0
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Programming languages; Finance, BUSINESS & ECONOMICS / Finance / General, computer science, Programming & scripting languages: general, COMPUTERS / Data Science / Data Modeling & Design, Web programming, COMPUTERS / Languages / Python