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Python for Finance

You're reading from   Python for Finance Apply powerful finance models and quantitative analysis with Python

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Product type Paperback
Published in Jun 2017
Publisher
ISBN-13 9781787125698
Length 586 pages
Edition 2nd 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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Toc

Table of Contents (17) Chapters Close

Preface 1. Python Basics FREE CHAPTER 2. Introduction to Python Modules 3. Time Value of Money 4. Sources of Data 5. Bond and Stock Valuation 6. Capital Asset Pricing Model 7. Multifactor Models and Performance Measures 8. Time-Series Analysis 9. Portfolio Theory 10. Options and Futures 11. Value at Risk 12. Monte Carlo Simulation 13. Credit Risk Analysis 14. Exotic Options 15. Volatility, Implied Volatility, ARCH, and GARCH Index

Simple string manipulation

For Python, we could assign a string to a variable without defining it in the first place:

>>> x="This is great"
>>> type(x)
<class 'str'>

For the formula to convert an effective rate to another one, the second input value is a string. For example, 's2a':

>>> type='s2a'
>>> type[0]
's'
>>> len(type)
3

The len() function shows the length of a string, see the following code:

>>>x='Hello World!'
>>>len(x)
13

Here are several widely used ways to select substring:

string='Hello World!'

# find the length of the string
n_length=len(string)
print(n_length)

# the number of appearance of letter l
n=string.count('l') 
print(n) 

# find teh locatoin of work of 'World'
loc=string.index("World") 
print(loc) 

# number of spaces
n2=string.count(' ')
print(n2)

print(string[0]) # print the first letter 
print...
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