April 2015
Beginner to intermediate
504 pages
8h 36m
English
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Summary
In this chapter, we examined how pandas makes it simple to access data in various locations and formats, providing automatic mapping of data in these formats into DataFrame objects. We started with learning how to read and write data from local files in CSV, HTML, JSON, HDF5, and Excel formats, reading into, and writing directly, from DataFrame objects without having to worry about the details of mapping the contained data into these various formats.
We then examined how to access data from remote sources. First, we saw that the functions and methods that work with local files can also read from web and cloud data sources. We then looked at pandas support for accessing various forms of web and web-service-based data, such as Yahoo! Finance ...
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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.