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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

Introducing NoSQL


Many cloud solution vendors offer storage facilities similar to the use of NoSQL by storing unstructured data in a document type of model. In this section, we will explore NoSQL as a means of storing financial data. There are also a number of open source databases available for free that support NoSQL.

Getting MongoDB

MongoDB is a free and open source document database written in C++. The official site for MongoDB is http://www.mongodb.org. MongoDB is available for Linux, Windows, Mac OS X, and Solaris. Head to http://www.mongodb.org/downloads to download and install MongoDB on your local workstation. MongoDB management services are typically added to your operating system's runtime environment when installation is complete and run from the command line. The documentation also includes instructions to get your mongod service started and running on your machine.

Creating the data directory and running MongoDB

Before starting MongoDB for the first time, a directory is needed...

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