December 2022
Beginner to intermediate
740 pages
18h 11m
English
Content preview from Python for Finance Cookbook - Second Edition
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6
Time Series Analysis and Forecasting
Time series are omnipresent in both industry and research. We can find examples of time series in commerce, tech, healthcare, energy, finance, and so on. We are mostly interested in the last one, as the time dimension is inherent to trading and many financial/economic indicators. However, pretty much every business generates some sort of time series, for example, its profits collected over time or any other measured KPI. That is why the techniques we cover in the following two chapters can be used for any time series analysis task you might encounter in your line of work.
Time series modeling or forecasting can often be approached from different angles. The two most popular are statistical methods and machine ...
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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.