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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 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

Python language is case sensitive

Case sensitive means that x is different from X. The variable of John is different from the variable of john. If we assume a value for x (lowercase x) and then call X (uppercase X), we will see the following error message:

>>>x=2
>>>X
Traceback (most recent call last):
       File "<pyshell#1>", line 1, in <module>
           X
       NameError: name 'X' is not defined
>>>

In the preceding example, X is not assigned any value. Thus, when we call it by typing X, we will receive an error message. Note that the last line mentions NameError instead of TypeError. In Python, we use name for variables.

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