September 2016
Beginner to intermediate
346 pages
6h 35m
English
Content preview from Julia for Data ScienceBecome 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 learned to visualize in Julia using different graphics options.
We studied the PyPlot and how we can exploit the vast matplotlib library. We worked on various examples. We also went through Unicode plots, which are very lightweight and can be used in the terminal. Vega and Gadfly, the two most popular graphics libraries, were also explained in this chapter. Using different plots such as scatter, line, box, histogram, bar, and violin, we understood how and why it is important and helpful to visualize our data.
In the next chapter, we will study machine learning with Julia.
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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.