2nd edition. Fine & unread w/small lower corner bend else like new w/ shiny wraps, crisp white pages, no marks. See photo, ships same day or next day.

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Bibliographic Details

Title

Python for Finance: Mastering Data-Driven Finance

Publisher

O'Reilly Media

Publication Date

2019

Language

English

ISBN 10

1492024333

ISBN 13

9781492024330

Binding

Soft cover

Edition

2nd Edition

Condition

Fine

Dimensions

Weight

2.449 pounds

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About this title

Synopsis

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.

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).

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