October 2014
Beginner to intermediate
348 pages
6h 55m
English
Content preview from Python Data AnalysisBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Summary
In this chapter, we focused on pandas—a Python data analysis library. This was an introductory tutorial about the basic pandas features and data structures. We realized that a lot of the pandas functionality mimics relational database tables, allowing us to query, aggregate, and manipulate data efficiently. NumPy and pandas work well together and make it possible to perform basic statistical analysis. At this point, you might be tempted to think that pandas is all we need for data analysis. However, there is more to data analysis than meets the eye.
The next chapter, Chapter 5, Retrieving, Processing, and Storing Data, will teach us skills that are essential, though they may not be considered data analysis by some people. We will go with ...
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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.