October 2015
Beginner
200 pages
3h 56m
English
book
Learning IPython for Interactive Computing and Data Visualization, Second Edition
by Cyrille Rossant
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Chapter 2. Interactive Data Analysis with pandas
In this chapter, we will cover the following topics:
- Exploring a dataset in the Notebook
- Manipulating data
- Complex operations
We'll see how to load, explore, and visualize a real-world dataset with pandas, matplotlib, and seaborn, all in the Notebook. We will also perform data manipulations efficiently.
Exploring a dataset in the Notebook
Here, we will explore a dataset containing the taxi trips made in New York City in 2013. Maintained by the New York City Taxi and Limousine Commission, this 50GB dataset contains the date, time, geographical coordinates of pickup and dropoff locations, fare, and other information for 170 million taxi trips.
To keep the analysis times reasonable, we will analyze a subset ...
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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.