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Python Data Analysis

You're reading from   Python Data Analysis Learn how to apply powerful data analysis techniques with popular open source Python modules

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Product type Paperback
Published in Oct 2014
Publisher
ISBN-13 9781783553358
Length 348 pages
Edition 1st Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started with Python Libraries FREE CHAPTER 2. NumPy Arrays 3. Statistics and Linear Algebra 4. pandas Primer 5. Retrieving, Processing, and Storing Data 6. Data Visualization 7. Signal Processing and Time Series 8. Working with Databases 9. Analyzing Textual Data and Social Media 10. Predictive Analytics and Machine Learning 11. Environments Outside the Python Ecosystem and Cloud Computing 12. Performance Tuning, Profiling, and Concurrency A. Key Concepts
B. Useful Functions C. Online Resources
Index

Parsing RSS and Atom feeds


Really Simple Syndication (RSS) and Atom feeds (refer to http://en.wikipedia.org/wiki/RSS) are often used for blogs and news. These type of feeds follow the publish/subscribe model. For instance, Packt Publishing has an RSS feed with article and book announcements. We can subscribe to the feed to get timely updates. The Python feedparser module allows us to parse RSS and Atom feeds easily without dealing with a lot of technical details. The feedparser module can be installed with pip as follows:

$ sudo pip install feedparser
$ pip freeze|grep feedparser
feedparser==5.1.3

After parsing an RSS file, we can access the underlying data using a dotted notation. Parse the Packt Publishing RSS feed and print the number of entries:

import feedparser as fp

rss = fp.parse("http://www.packtpub.com/rss.xml")

print "# Entries", len(rss.entries)

The number of entries is printed (the number may vary for each program run):

# Entries 50

Print entry titles and summaries if the entry...

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