June 2024
Intermediate to advanced
290 pages
7h 52m
English
Content preview from Modern Graph Theory Algorithms with Python
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6
Stock Market Data
In this chapter, we’ll introduce temporal data and dive into stock market trend analysis. To understand trends over time, we’ll return to centrality measurements on networks and introduce some more advanced algorithms. Finally, we’ll analyze stock pricing data over time using our centrality measurements and pinpoint changes in behavior over time within and across different stocks to predict spikes and crashes in price.
By the end of this chapter, you’ll be able to wrangle datasets with time components into a series of networks and analyze structural changes over time with centrality metrics. Many of the centrality metrics scale well to large networks, particularly when they are run in parallel.
Specifically, we will cover ...
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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.