April 2015
Beginner to intermediate
504 pages
8h 36m
English
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Summary
In this chapter, we have examined NumPy arrays to get an understanding of their capabilities to manipulate data and performe operations on data including selecting elements, vectorization, Boolean selection, reshaping, stacking, concatenation, splitting, and slicing. NumPy has many other features, but these are the ones that are important to understand as they will set a frame of reference for understanding the operation of pandas Series and DataFrame objects. All the concepts covered in this chapter will be examined in much more detail in the next two chapters, where they are applied to pandas objects, which extend these capabilities to provide a much richer and more expressive means of representing and manipulating data than is offered ...
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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.