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Python for Finance

Python for Finance

By : Yuxing Yan
3.9 (22)
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Python for Finance

Python for Finance

3.9 (22)
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)
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13
Index

Chapter 5. Introduction to Modules

In this chapter, we will discuss modules, which are packages written by experts or any individual to serve special purposes. In this book, we will use about a dozen modules in total. Thus, knowledge related to modules is vitally important in our understanding of Python and its application to finance.

In particular, we will cover the following topics:

  • What is a module and how do we import a module?
  • Showing all functions contained in an imported module
  • Adopting a short name for an imported module
  • Comparing between import math and from math import *
  • Deleting an imported module
  • Importing a few functions from a module
  • Finding out all built-in modules and all available (reinstalled) modules
  • How to find a specific uninstalled module
  • Finding the location of an imported module
  • Module dependency
  • One super package including many modules
  • Online searching of modules and videos on how to install a module
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