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

Why Python?

There are various reasons that Python should be used. Firstly, Python is free in terms of license. Python is available for all major operating systems, such as Windows, Linux/Unix, OS/2, Mac, and Amiga, among others. Being free has many benefits. When students graduate, they could apply what they have learned wherever they go. This is true for the financial community as well. In contrast, this is not true for SAS and MATLAB. Secondly, Python is powerful, flexible, and easy to learn. It is capable of solving almost all our financial and economic estimations. Thirdly, we could apply Python to Big Data. Dasgupta (2013) argues that R and Python are two of the most popular open source programming languages for data analysis. Fourthly, there are many useful modules in Python. Each model is developed for a special purpose. In this book, we focus on NumPy, SciPy, Matplotlib, Statsmodels, and Pandas modules.