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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
Languages
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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 FREE CHAPTER 2. Using Python as an Ordinary Calculator 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

A few frequently used functions

There are several functions we are going to use quite frequently. In this section, we will discuss them briefly. The functions are print(), type(), upper(), strip(), and last expression _. We will also learn how to merge two string variables. The true power function pow() discussed earlier belongs to this category as well.

The print() function

Occasionally, we need to print something on screen. One way to do so is to apply the print() function as shown in the following example:

>>>import math            
>>>print('pi=',math.pi)
pi= 3.141592653589793

At this stage, a new user just applies this format without going into more detail about the print() function.

The type() function

In Python, the type() function can be used to find out the type of a variable as follows:

>>>pv=100.23
>>>type(pv)
<class 'float'>
>>>n=10
>>>type(n)
<class 'int'>
>>>

From these results...

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