Book description
NoneTable of contents
- Preface
- I. Python and Finance
- 1. Why Python for Finance
- 2. Python Infrastructure
- II. Mastering the Basics
- 3. Data Types and Structures
- 4. Numerical Computing with NumPy
- 5. Data Analysis with pandas
- 6. Object-Oriented Programming
- III. Financial Data Science
- 7. Data Visualization
- 8. Financial Time Series
- 9. Input/Output Operations
- 10. Performance Python
- 11. Mathematical Tools
- 12. Stochastics
- 13. Statistics
- IV. Algorithmic Trading
- 14. The FXCM Trading Platform
- 15. Trading Strategies
- 16. Automated Trading
- V. Derivatives Analytics
- 17. Valuation Framework
- 18. Simulation of Financial Models
- 19. Derivatives Valuation
- 20. Portfolio Valuation
- 21. Market-Based Valuation
- A. Dates and Times
- B. BSM Option Class
- Index
Product information
- Title: Python for Finance, 2nd Edition
- Author(s):
- Release date:
- Publisher(s): O'Reilly Media, Inc.
- ISBN: None
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