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Mastering Python for Finance

You're reading from   Mastering Python for Finance Understand, design, and implement state-of-the-art mathematical and statistical applications used in finance with Python

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784394516
Length 340 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (12) Chapters Close

Preface 1. Python for Financial Applications FREE CHAPTER 2. The Importance of Linearity in Finance 3. Nonlinearity in Finance 4. Numerical Procedures 5. Interest Rates and Derivatives 6. Interactive Financial Analytics with Python and VSTOXX 7. Big Data with Python 8. Algorithmic Trading 9. Backtesting 10. Excel with Python Index

Which Python version should I use?

The code examples in this book have been tested in Python 2.7 but are optimized to run on Python 3. Many of the third-party Python modules mentioned in this book require at least Python 2.7, and some do not have support for Python 3 as yet. To achieve the best compatibility, it is recommended that you install Python 2.7 on your workstation.

If you have not installed Python on your workstation, you can find out more about Python from the official source at https://www.python.org. However, in order to build financial applications from the examples, you are required to use a number of additional third-party Python modules such as NumPy, SciPy, and pandas. It is recommended that you obtain an all-in-one installer to ease the installation procedures. The following are some popular installers that include hundreds of supported packages:

You have been reading a chapter from
Mastering Python for Finance
Published in: Apr 2015
Publisher: Packt
ISBN-13: 9781784394516
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