July 2017
Beginner to intermediate
312 pages
7h 27m
English
Content preview from Python Social Media Analytics
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Comparison of technologies in terms of forks, open issues, size, and watchers count
In the next step, we will focus on the two most important technologies: deep learning and open source to see what are the patterns in terms of numerical data.
Firstly, we compare the overall statistics. For this purpose we will compute mean, minimum, and maximum value for each variable:
df.groupby('technology')['forks', 'watchers', 'size', 'open_issues'].mean() forks watchers size open_issues technology deep learning 128.388889 329.222222 33976.611111 3.0 open source 160.700000 1403.100000 55267.100000 58.7 df.groupby('technology')['forks', 'watchers', 'size', 'open_issues'].min() forks watchers size open_issues technology deep learning 52 41 2 0 open source ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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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.
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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.