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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

Product type Paperback

Published in Apr 2015

Publisher Packt

ISBN-13 9781784394516

Length 340 pages

Edition 1st Edition

Languages

Python

Concepts

Data Science

Table of Contents (12) Chapters

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

Getting Apache Hadoop

The official page for Apache Hadoop is http://hadoop.apache.org. Here, you can find in-depth documentation, manuals, and releases of Apache Hadoop. Hadoop is written in Java and requires JVM installed on your single-node setup to run. It is supported on both GNU/Linux and Windows.

Since the purpose of this chapter is to get introduced to Python programming for Apache Hadoop, a quick way to get our hands on a complete Hadoop ecosystem would be most ideal. Cloud vendor Cloudera hosts a number of free QuickStart VMs that contain a single-node Apache Hadoop cluster, complete with sample scripts and ready links to help us dive straight into managing our cluster. The following sections describe how to get a Hadoop VM running on your machine.

Getting a QuickStart VM from Cloudera

The download link to Hadoop QuickStart VMs from Cloudera is http://www.cloudera.com/content/support/en/downloads/quickstart_vms.html. The VM image comes installed with the CentOS 6.4 Linux operating...

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