July 2017
Beginner to intermediate
312 pages
7h 27m
English
Content preview from Python Social Media Analytics
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Forks versus watchers
We use the same logic to create a chart for next two variables: forks and size.
x = df['watchers'] y = df['forks'] ax.set(title='Deep Learning and Open Source Technologies', xlabel='Number of watchers', ylabel='Number of forks')
Again, there's no correlation between forks and watchers in the case of deep learning and open source. Certain open source repositories have high number of watchers compared to deep learning.
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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.