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Python Data Analysis, Second Edition

You're reading from   Python Data Analysis, Second Edition Data manipulation and complex data analysis with Python

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787127487
Length 330 pages
Edition 2nd Edition
Languages
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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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Table of Contents (16) Chapters Close

Preface 1. Getting Started with Python Libraries 2. NumPy Arrays FREE CHAPTER 3. The Pandas Primer 4. Statistics and Linear Algebra 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

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 types 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:

$ pip3 install feedparser

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 10

Print entry titles and summaries if the entry contains the...

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