April 2015
Intermediate to advanced
340 pages
7h 21m
English
In this introductory chapter, we will explore the aspects of Python in order to judge its suitability as a programming language in finance. Notably, Python is widely practiced in various financial sectors, such as banking, investment management, insurance, and even in real estate for building tools that help in financial modeling, risk management, and trading. To help you get the most from the multitude of features that Python has to offer, we will introduce the IPython Notebook as a beneficial tool to help you visualize data and to perform scientific computing for presentation to end users.
In this chapter, we will cover the following topics:
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