Book Image

Python for Finance

By : Yuxing Yan
Book Image

Python for Finance

By: Yuxing Yan

Overview of this book

A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.
Table of Contents (14 chapters)
13
Index

Indentation is critical in Python


Indentation plays a vital role in Python. Let's look at an R program. Anything between a pair of curly braces belongs to the same logic block. If we have multiple lines, the indentation is not important for R programs, as shown in the following code:

pv_f<-function(fv,r,n) {   # this is an R program
    pv<-fv*(1+r)^(-n)
pv
}

To achieve the same result in Python, we use indentations instead. This means that all the lines with the same indentation belong to the same scope, as shown in the following code:

def pv_f(fv,r,n):
    pv=fv/(1+r)**n
    return pv

The following are the ways to input values:

  • In the preceding example, pv_f(100,0.1,1), we input three values, 100, 0.1, and 1. There is no ambiguity that 100 is the future value, 0.1 is the discount rate, and 1 is the number of periods since the input variables are arranged this way. This is the first way to input values into a function.

  • The second way to input values is based on key words. The advantage...