Book description
Python for Finance introduces the Python libraries and tools you need to successfully apply Python for the development of financial applications and interactive financial analytics. The first part shows you how to setup the infrastructure, the second is more topicoriented, and the third provides relevant case studies. The author includes topics such as integration with Excel, and handling derivatives valuation (through a Monte Carlo simulation).
Table of Contents
 I. Introduction

II. Financial Analytics and Development
 4. Data Types and Structures
 5. Data Visualization
 6. Financial Time Series
 7. InputOutput Operations
 8. Performance Python
 9. Mathematical Tools
 10. Stochastics
 About the Author
 Copyright