July 2017
Beginner to intermediate
312 pages
7h 27m
English
Content preview from Python Social Media Analytics
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Open issues versus Watchers
Intuitively, we might think that if there are more watchers, there will be more open issues in the repository. Let's check our hypothesis by checking the distribution of these two variables:
x = df['open_issues'] y = df['watchers'] ax.set(title='Deep Learning and Open Source Technologies', xlabel='Number of open issues', ylabel='Number of watchers')
Comparing the number of watchers and open issues for the two projects, we see a bunch of repositories clustered with less than 1,000 watchers and 50 open issues. There's a lot more variation in the two metrics for the open source repos than those for deep learning. ...
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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.