November 2017
Beginner
316 pages
6h 40m
English
Content preview from Learning Julia
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Summary
In this chapter, we saw how Julia provides a set of very advanced and feature-rich libraries to accomplish the mammoth task of effectively doing data visualization. In the starting section, we got to know how PyPlots work and how we can make simple graphical plotting using the package. However, in the later sections of the chapter, we went into detail about the two most popular libraries in Julia, namely Vega.jl and Gadfly.jl.
We will now be shifting our focus, and in the next chapter, we will discuss how to use a database in Julia and what packages, as well as database bindings, are available to help us accomplish the task.
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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.