November 2015
Beginner to intermediate
302 pages
6h 17m
English
book
Python Data Visualization Cookbook (Second Edition)
by Igor Milovanovic, Dimitry Foures, Giuseppe Vettigli
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Importing data from a database
Very often, our work on data analysis and visualization is at the consumer end of the data pipeline. We most often use the already produced data rather than producing the data ourselves. A modern application, for example, holds different datasets inside relational databases (or other databases like MongoDB), and we use these databases to produce beautiful graphs.
This recipe will show you how to use SQL drivers from Python to access data.
We will demonstrate this recipe using a SQLite database because it requires the least effort to set up, but the interface is similar to most other SQL-based database engines (MySQL and PostgreSQL). There are, however, differences in the SQL dialect that those database engines support. ...
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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.