
Python for Finance 2e
Mastering Data-Driven Finance
Yves Hilpisch(Author)
O'Reilly (Publisher)
2nd Edition
Published on 31. January 2019
Book
Paperback/Softback
685 pages
978-1-4920-2433-0 (ISBN)
Description
The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics.
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
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
More details
Edition
2nd Revised edition
Language
English
Place of publication
Sebastopol
United States
Target group
Professional and scholarly
Edition type
Revised edition
Dimensions
Height: 234 mm
Width: 179 mm
Thickness: 40 mm
Weight
1208 gr
ISBN-13
978-1-4920-2433-0 (9781492024330)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
12/2018
O'Reilly
€58.99
Available for download

E-Book
12/2018
O'Reilly
€66.99
Available for download
Previous edition

Book
01/2015
1st Edition
O'Reilly
€37.00
Article exhausted; check for reprint
Person
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).