The second edition of this hands-on book, with the subtitle, Mastering Data-Driven Finance, has been updated to Python 3. Author Dr. Yves Hilpisch 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, 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.

Author: Dr. Yves J. Hilpisch
Publisher: O'Reilly
Date: December 2018
Pages: 720
ISBN: 978-1492024330
Print: 1492024333
Kindle: B07L8NMW2P
Audience: Would-be Python developers and data analysts
Level: Intermediate
Category: Python

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.