October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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I/Os of Different Data Formats with pandas
A data scientist has to work on data that comes from a variety of sources and hence in a variety of formats. The most common are the ubiquitous spreadsheets, Excel sheets, and CSV and text files. But there are many others, such as URL, API, JSON, XML, HDF, Feather and so on, depending on where it is being accessed. In this chapter, we will cover the following topics among others:
- Data sources and pandas methods
- CSV and TXT
- URL and S3
- JSON
- Reading HDF formats
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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.