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Practical Data Analysis

You're reading from  Practical Data Analysis

Product type Book
Published in Oct 2013
Publisher Packt
ISBN-13 9781783280995
Pages 360 pages
Edition 1st Edition
Languages
Author (1):
Hector Cuesta Hector Cuesta
Profile icon Hector Cuesta
Toc

Table of Contents (24) Chapters close

Practical Data Analysis
Credits
Foreword
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started 2. Working with Data 3. Data Visualization 4. Text Classification 5. Similarity-based Image Retrieval 6. Simulation of Stock Prices 7. Predicting Gold Prices 8. Working with Support Vector Machines 9. Modeling Infectious Disease with Cellular Automata 10. Working with Social Graphs 11. Sentiment Analysis of Twitter Data 12. Data Processing and Aggregation with MongoDB 13. Working with MapReduce 14. Online Data Analysis with IPython and Wakari Setting Up the Infrastructure Index

Getting started with Twython


In this chapter, we will use Twython 3, which is a Python wrapper of the Twitter API 1.1. We can download the latest version of twython from pypi Python website, https://pypi.python.org/pypi/twython.

Then, we need to unzip and open the twython folder. Finally we install the twython module using the following command:

>>> python3 setup.py install

Or, we can also install Twython through easy_install using the following command.

>>> easy_install twython

We can find complete reference documentation of Twython at https://twython.readthedocs.org/en/latest/index.html.

Tip

You can find a complete list of Twitter libraries for several programming languages such as Java, C#, Python, and so on at https://dev.twitter.com/docs/twitter-libraries.

Simple search

In this example, we will perform a search of the word python and we will print the complete list of statuses in order to understand the format of the retrieved tweets.

First, we need to import the Twython...

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