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 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.
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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