April 2016
Beginner to intermediate
384 pages
8h 36m
English
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Handling graph objects in Python with NetworkX
The boom of social networks such as Facebook, Twitter, or LinkedIn (among others) has introduced a wide set of problems. Examples of these (but not limited to) are: who is a friend of whom, can I reach a recruiter in that particular company that I would love to work for via my network of friends and associates, am I connected to President Obama in any way, and who is the most influential person in my network?
These types of problems are very common in the present society and any data scientist should know how to tackle them.
In this recipe, we will introduce a fabricated Twitter network of 20 people. You will learn how to create a graph, add nodes and edges (and additional metadata), analyze the graph, ...
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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.