October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Data extraction
This entails the data that's available but we missed during its extraction from a source. It deals with engineering tasks such as the following:
- Scraping from a website
- Querying from a database
- Extracting from flat files
There can be many sources of missing values, some of which are as follows:
- Regular expressions resulting in the wrong or non-unique results
- Wrong query
- A different data type storage
- Incomplete download
- Incomplete processing
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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.
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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.