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Mastering Pandas for Finance

You're reading from   Mastering Pandas for Finance Master pandas, an open source Python Data Analysis Library, for financial data analysis

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Product type Paperback
Published in May 2015
Publisher Packt
ISBN-13 9781783985104
Length 298 pages
Edition 1st Edition
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Author (1):
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Michael Heydt Michael Heydt
Author Profile Icon Michael Heydt
Michael Heydt
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with pandas Using Wakari.io FREE CHAPTER 2. Introducing the Series and DataFrame 3. Reshaping, Reorganizing, and Aggregating 4. Time-series 5. Time-series Stock Data 6. Trading Using Google Trends 7. Algorithmic Trading 8. Working with Options 9. Portfolios and Risk Index

What you need for this book

This book assumes that you have some familiarity with programming concepts, but even those without programming, or specifically Python programming, experience, will be comfortable with the examples as they focus on pandas constructs more than Python or programming. The examples are based on Anaconda Python 2.7 and pandas 0.15.1. If you do not have either installed, guidance is provided in Chapter 1, Getting Started with pandas Using Wakari.io, on installing both on Windows, OS X, and Ubuntu systems. For those interested in not installing any software, instructions are also given on using the Wakari.io online Python data analysis service. Data is either provided with the text or is available for download via pandas from data services such as Yahoo! Finance. We will also use several open source software packages such as Zipline and Mibian, the retrieval, installation, and usage of which will be explained during the appropriate chapters.

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