Book description
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 handson 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.
Table of contents
 Preface
 I. Python and Finance

II. Financial Analytics and Development
 4. Data Types and Structures
 5. Data Visualization
 6. Financial Time Series
 7. Input/Output Operations
 8. Performance Python
 9. Mathematical Tools
 10. Stochastics
 11. Statistics
 12. Excel Integration
 13. Object Orientation and Graphical User Interfaces
 14. Web Integration
 III. Derivatives Analytics Library
 Index
 About the Author
 Colophon
 Copyright
Product information
 Title: Python for Finance
 Author(s):
 Release date: December 2014
 Publisher(s): O'Reilly Media, Inc.
 ISBN: 9781491945285
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