April 2015
Beginner to intermediate
504 pages
8h 36m
English
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Accessing data on the web and in the cloud
It is quite common to read data off the web and from the cloud. pandas makes it extremely easy to read data from the web and cloud. All of the pandas functions we have examined can also be given an HTTP URL, FTP address, or S3 address instead of a local file path, and all work just the same as they work with a local file.
The following demonstrates how easy it is to directly make HTTP requests using the existing pd.read_csv() function. The following retrieves the daily stock data for Microsoft in June 2014 directly from the Yahoo! Finance web service via its HTTP query string model:
In [32]: # read csv directly from Yahoo! Finance from a URL df = pd.read_csv("http://ichart.yahoo.com/table.csv?s=MSFT&" ...
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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.
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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.