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

Summary

In this chapter, we discussed modules, such as finding all available or installed modules and how to install a new module. In this book, we will use a few dozen modules. Thus, an understanding of modules is vital. For example, a module called Matplotlib, which is useful in various graphs, will be used intensively in the next chapter, where we discuss the famous Black-Scholes-Merton option model.

In the next chapter, we will introduce the two most important modules: NumPy and SciPy. Those two modules are used intensively for scientific and financial computation. In this book, many chapters depend on these two modules. In addition, many other modules depend on these two modules.