Python for Finance Analyze Big Financial Data {TechieAce}
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Python for Finance Analyze Big Financial Data {TechieAce}
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Torrent File Content (3 files)
Python for Finance Analyze Big Financial Data {TechieAce}
Python for Finance Analyze Big Financial Data {TechieAce}.pdf -
Python for Finance Analyze Big Financial Data {TechieAce}.pdf -
13.6 MB
Cover.jpg -
199.03 KB
Python for Finance Analyze Big Financial Data.txt -
1.17 KB
Description
Python for Finance Analyze Big Financial Data
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.
About the Author
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.
Book Details
Publisher: O’Reilly Media
By: Yves Hilpisch
ISBN: 978-1-49194-528-5
Year: 2014
Pages: 606
Language: English
File size: 14.3 MB
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