November 2017
Beginner to intermediate
204 pages
5h 23m
English
Content preview from Practical Data Wrangling
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Summary
In summary this chapter was an introduction to the XML and CSV data formats. In Python, CSV data can be processed using the Python csv module or using the pandas module depending on personal preference and the nature of the task. The csv module can also be used to write output CSV data. (While it was not covered here, it is also possible to use the pandas module to output data in CSV and JSON formats.) Finally, XML data can be parsed using the Python xml.etree.ElementTree module.
In the next chapter, you will have the chance to work on a much more applied project--extracting street names from addresses. In the next chapter, I will introduce regular expressions, a tool for matching and extracting patterns in text data.
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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.