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Python for Finance

You're reading from   Python for Finance If your interest is finance and trading, then using Python to build a financial calculator makes absolute sense. As does this book which is a hands-on guide covering everything from option theory to time series.

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Product type Paperback
Published in Apr 2014
Publisher
ISBN-13 9781783284375
Length 408 pages
Edition 1st Edition
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Author (1):
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Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
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Table of Contents (14) Chapters Close

Preface 1. Introduction and Installation of Python 2. Using Python as an Ordinary Calculator FREE CHAPTER 3. Using Python as a Financial Calculator 4. 13 Lines of Python to Price a Call Option 5. Introduction to Modules 6. Introduction to NumPy and SciPy 7. Visual Finance via Matplotlib 8. Statistical Analysis of Time Series 9. The Black-Scholes-Merton Option Model 10. Python Loops and Implied Volatility 11. Monte Carlo Simulation and Options 12. Volatility Measures and GARCH Index

Default input values for a function


Sometimes, we set up a default input value to call our function more efficiently. Here, we use the dir2() function, which we created in the last section as an example. If the most frequently called directory is in C: Python32, we could set it as our default input value. This means after we activate this function and issue >>>dir2(), the contents under this directory will be displayed automatically, as shown in the following code:

def dir2(path="c:\python32"):
    from os import listdir
    print(listdir(path))    

By the way, when a function needs inputs and there are no default input values, we would receive an error message when we don't have input values.

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