June 2023
Intermediate to advanced
236 pages
6h 25m
English
Content preview from Graph Data Modeling in Python
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Preface
Organizations across the globe are starting to use graph approaches and visualization techniques to make sense of complex networks. These networks are present in many industries, ranging from social network analysis (analyzing the connections of people interacting on social networks) to fraud detection (looking at transactions in a network to spot outliers), modeling the stability of systems such as rail and energy grids, and as critical components of recommendation engines that are used in many of your favorite online streaming services, for example, Netflix, Prime, and so on.
This book provides you with the tools to get up and running with these methods while working with a familiar language, such as Python. We start by looking at ...
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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.