December 2022
Beginner to intermediate
740 pages
18h 11m
English
Content preview from Python for Finance Cookbook - Second Edition
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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.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.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.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.
1
Acquiring Financial Data
The first chapter of this book is dedicated to a very important (some may say the most important) part of any data science/quantitative finance project—gathering data. In line with the famous adage “garbage in, garbage out,” we should strive to obtain data of the highest possible quality and then correctly preprocess it for later use with statistical and machine learning algorithms. The reason for this is simple—the results of our analyses are highly dependent on the input data and no sophisticated model will be able to compensate for that. That is also why in our analyses, we should be able to use our (or someone else’s) understanding of the economic/financial domain to motivate certain data for, for example, modeling ...
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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.