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
You might also like
book
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. …
book
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. …
book
Think Bayes, 2nd Edition
If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll …
book
Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging
Supercharge options analytics and hedging using the power of Python Derivatives Analytics with Python shows you …