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Python for Finance

You're reading from  Python for Finance

Product type Book
Published in Apr 2014
Publisher
ISBN-13 9781783284375
Pages 408 pages
Edition 1st Edition
Languages
Author (1):
Yuxing Yan Yuxing Yan
Profile icon Yuxing Yan

Table of Contents (20) Chapters

Python for Finance
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
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

Using and debugging other programs


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.

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