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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

Understanding the list data type


In Chapter 3, Using Python as a Financial Calculator, tuples are introduced as one of the data types. Recall that a tuple is defined by using parentheses such as x=(1,2,3,"Hello"). In addition, after a tuple is defined, we cannot change its values. Like tuples, the lists data type could contain different types of data, and their first subscripts start from 0. The following Python commands generate a list for variable x:

>>>x=[1,2,"John", "M", "Student"]
>>>type(x)
<class 'list'>

From the preceding code statements, we know that a set of variables included will be closed by a pair of square brackets, that is []. To call specific data item(s), we could use different ways to achieve our goals. The following commands show how to pick up individual data items for different goals:

>>>x
[1, 2, 'John', 'M', 'Student']
>>>x[1]
2
>>>x[2:]
['John', 'M', 'Student']

Unlike tuples, we can modify the values of a list.

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