September 2014
Intermediate to advanced
512 pages
12h 39m
English
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Analyzing a social network with NetworkX
In this recipe, we will show how to analyze social data in Python. Social data is generated by people's activity on social networks such as Facebook, Twitter, Google+, GitHub, and others.
In this recipe, we will analyze and visualize a Twitter user's social network with NetworkX.
Getting ready
First, you need to install the Twitter Python package. You can install it with pip install twitter. You'll find more information at https://pypi.python.org/pypi/twitter.
Then, you need to obtain authentication codes in order to access your Twitter data. The procedure is free. In addition to a Twitter account, you also need to create an Application on the Twitter Developers website at https://dev.twitter.com/apps. Then, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.