October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Summary
In this chapter, we attempted to compare key features in R and SQL with their pandas equivalents in order to achieve the following objectives:
- To assist R, SQL, and SAS users who may wish to replicate the same functionality in pandas
- To assist any users who on reading some R, SQL, and SAS code, may wish to rewrite the code in pandas
In the next chapter, we will conclude the book by providing a brief introduction to the scikit-learn library for performing machine learning, and we will demonstrate how pandas fits in that framework. Reference documentation for this chapter can be found here: http://pandas.pydata.org/pandas-docs/stable/comparison_with_r.html.
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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.