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

Showing all functions in NumPy and SciPy

There are several ways to find out all the functions contained in a specific module. First, we can read related manuals. Second, we can issue the following lines of code:

>>>import numpy as np
>>>dir(np)

To save space, only a few lines of code are shown in the following screenshot:

Showing all functions in NumPy and SciPy

Actually, a better way is to generate an array with all of those functions as follows:

>>>x=np.array(dir(np))
>>>len(x)            # showing the length of the array
571
>>>x[200:210]        # showing 10 lines starting from 200

The following screenshot shows the output:

Showing all functions in NumPy and SciPy

Similarly, to find all the functions in SciPy, we use the dir() function after we load the module as shown in the following lines of code:

>>>import scipy as sp
>>>dir(sp)  

The first part is shown in the following screenshot:

Showing all functions in NumPy and SciPy