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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
Languages
Tools
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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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Toc

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

Installing the samples in Wakari

To install the examples in Wakari, download the code bundle and unzip the files to a local directory. You will see a set of files as shown here:

Installing the samples in Wakari

To upload the files to Wakari, click on the upload files icon and drag the files into the Drag & Drop Here section of the web page:

Installing the samples in Wakari

Once dropped, click on the Upload Files button, and you will see the following files in your Wakari directory:

Installing the samples in Wakari

At this point, you should be able to open and run any of the Notebooks and even examine the data in the browser. As an example, the following screenshot demonstrates the Notebook for Chapter 2, Introducing the Series and DataFrame, opened in Wakari:

Installing the samples in Wakari
You have been reading a chapter from
Mastering Pandas for Finance
Published in: May 2015
Publisher: Packt
ISBN-13: 9781783985104
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