April 2015
Beginner to intermediate
504 pages
8h 36m
English
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Example data
Where possible, the examples in this chapter will utilize several datasets provided with the code in the download for the text. These datasets make the examples a little less academic in nature. These datasets will be read from files using the pd.read_csv() function that will load the sample data from the file into a DataFrame object.
Note
pd.read_csv() will be more extensively examined in Chapter 6, Accessing Data. For now, its function is simply to load some example DataFrame objects.
The remainder of the samples will still utilize the DataFrame objects created on demand if they demonstrate the concept being examined in a better way. Let's see the brief descriptions of these datasets.
S&P 500
The first dataset we will use is a snapshot ...
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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.