June 2024
Intermediate to advanced
290 pages
7h 52m
English
Content preview from Modern Graph Theory Algorithms with Python
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Part 2: Spatial Data Applications
Part 2 builds on Part 1 by introducing spatial data applications, including examples of trend spread across African countries, epidemic spread across student networks, transportation logistics problems involving roadways and locations of interest, snake conservation across regions of a national park, and text-based city park evaluation clustering. This part introduces epidemic (and more general differential equation) models, shortest path algorithms, traveling salesman problem solutions, minimum cut/maximum flow algorithms, spectral graph algorithms, and pretrained transformer models.
Part 2 has the following chapters:
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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.