Quite often than not, we might start our project based on a program or programs written by others, such as the programs by our fellow researchers, other students, teachers, programs downloaded from the Internet, or the old programs we wrote ourselves a long time ago. As the first step, we need to know whether our borrowed program contains any errors. These two methods could be used to debug such a program. In a sense, the second method, comment-all-out method, is preferred since it might save us some typing or copy-and-paste time. To debug other programs, the key is to find the locations of the errors. Here is a very useful Python program to get data from Yahoo! Finance: http://goldb.org/ystockquote.html. A beginner could download the program to try small functions contained in the program.
Python for Finance
By :
Python for Finance
By:
Overview of this book
Table of Contents (20 chapters)
Python for Finance
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Introduction and Installation of Python
Using Python as an Ordinary Calculator
Using Python as a Financial Calculator
13 Lines of Python to Price a Call Option
Introduction to Modules
Introduction to NumPy and SciPy
Visual Finance via Matplotlib
Statistical Analysis of Time Series
The Black-Scholes-Merton Option Model
Python Loops and Implied Volatility
Monte Carlo Simulation and Options
Volatility Measures and GARCH
Index
Customer Reviews